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2
.github/ISSUE_TEMPLATE/bug-report.yml
vendored
2
.github/ISSUE_TEMPLATE/bug-report.yml
vendored
@@ -19,7 +19,7 @@ body:
|
||||
- type: textarea
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||||
attributes:
|
||||
label: 复现步骤
|
||||
description: 提供越多信息，我们会越快解决问题，建议多提供配置截图；**如果你不认真填写（只一两句话概括），我们会很生气并且立即关闭 issue 或两年后才回复你**
|
||||
description: 提供越多信息，我们会越快解决问题，建议多提供配置截图；**如果涉及 Dify、n8n、Langflow 等外部平台，请提供应用的导出文件（如 Dify 应用的 DSL），我们将更快回复您。**
|
||||
validations:
|
||||
required: false
|
||||
- type: textarea
|
||||
|
||||
2
.github/ISSUE_TEMPLATE/bug-report_en.yml
vendored
2
.github/ISSUE_TEMPLATE/bug-report_en.yml
vendored
@@ -19,7 +19,7 @@ body:
|
||||
- type: textarea
|
||||
attributes:
|
||||
label: Reproduction steps
|
||||
description: How to reproduce this problem, the more detailed the better; the more information you provide, the faster we will solve the problem. 【注意】请务必认真填写此部分，若不提供完整信息（如只有一两句话的概括），我们将不会回复！
|
||||
description: How to reproduce this problem, the more detailed the better; the more information you provide, the faster we will solve the problem.
|
||||
validations:
|
||||
required: false
|
||||
- type: textarea
|
||||
|
||||
230
README.md
230
README.md
@@ -1,49 +1,64 @@
|
||||
|
||||
<p align="center">
|
||||
<a href="https://langbot.app">
|
||||
<img width="130" src="https://docs.langbot.app/langbot-logo.png" alt="LangBot"/>
|
||||
<img width="130" src="res/logo-blue.png" alt="LangBot"/>
|
||||
</a>
|
||||
|
||||
<div align="center">
|
||||
|
||||
<a href="https://hellogithub.com/repository/langbot-app/LangBot" target="_blank"><img src="https://abroad.hellogithub.com/v1/widgets/recommend.svg?rid=5ce8ae2aa4f74316bf393b57b952433c&claim_uid=gtmc6YWjMZkT21R" alt="Featured｜HelloGitHub" style="width: 250px; height: 54px;" width="250" height="54" /></a>
|
||||
<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production-grade IM bot made easy. | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
|
||||
|
||||
<h3>使用 LangBot 快速构建、调试、部署即时通信机器人。</h3>
|
||||
<h3>Production-grade platform for building agentic IM bots.</h3>
|
||||
<h4>Quickly build, debug, and ship AI bots to Slack, Discord, Telegram, WeChat, and more.</h4>
|
||||
|
||||
[English](README_EN.md) / 简体中文 / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
|
||||
English / [简体中文](README_CN.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
[](https://qm.qq.com/q/DxZZcNxM1W)
|
||||
[](https://deepwiki.com/langbot-app/LangBot)
|
||||
[](https://github.com/langbot-app/LangBot/releases/latest)
|
||||
<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
|
||||
[](https://gitcode.com/RockChinQ/LangBot)
|
||||
[](https://github.com/langbot-app/LangBot/stargazers)
|
||||
|
||||
<a href="https://langbot.app">项目主页</a> ｜
|
||||
<a href="https://docs.langbot.app/zh/insight/features.html">规格特性</a> ｜
|
||||
<a href="https://docs.langbot.app/zh/insight/guide.html">部署文档</a> ｜
|
||||
<a href="https://docs.langbot.app/zh/tags/readme.html">API 集成</a> ｜
|
||||
<a href="https://space.langbot.app">插件市场</a> ｜
|
||||
<a href="https://langbot.featurebase.app/roadmap">路线图</a>
|
||||
<a href="https://langbot.app">Website</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/features.html">Features</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/guide.html">Docs</a> ｜
|
||||
<a href="https://docs.langbot.app/en/tags/readme.html">API</a> ｜
|
||||
<a href="https://space.langbot.app">Plugin Market</a> ｜
|
||||
<a href="https://langbot.featurebase.app/roadmap">Roadmap</a>
|
||||
|
||||
</div>
|
||||
|
||||
</p>
|
||||
|
||||
---
|
||||
|
||||
## 📦 开始使用
|
||||
## What is LangBot?
|
||||
|
||||
#### 快速部署
|
||||
LangBot is an **open-source, production-grade platform** for building AI-powered instant messaging bots. It connects Large Language Models (LLMs) to any chat platform, enabling you to create intelligent agents that can converse, execute tasks, and integrate with your existing workflows.
|
||||
|
||||
使用 `uvx` 一键启动（需要先安装 [uv](https://docs.astral.sh/uv/getting-started/installation/)）：
|
||||
### Key Capabilities
|
||||
|
||||
- **AI Conversations & Agents** — Multi-turn dialogues, tool calling, multi-modal support, streaming output. Built-in RAG (knowledge base) with deep integration to [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io), [Langflow](https://langflow.org).
|
||||
- **Universal IM Platform Support** — One codebase for Discord, Telegram, Slack, LINE, QQ, WeChat, WeCom, Lark, DingTalk, KOOK.
|
||||
- **Production-Ready** — Access control, rate limiting, sensitive word filtering, comprehensive monitoring, and exception handling. Trusted by enterprises.
|
||||
- **Plugin Ecosystem** — Hundreds of plugins, event-driven architecture, component extensions, and [MCP protocol](https://modelcontextprotocol.io/) support.
|
||||
- **Web Management Panel** — Configure, manage, and monitor your bots through an intuitive browser interface. No YAML editing required.
|
||||
- **Multi-Pipeline Architecture** — Different bots for different scenarios, with comprehensive monitoring and exception handling.
|
||||
|
||||
[→ Learn more about all features](https://docs.langbot.app/en/insight/features.html)
|
||||
|
||||
---
|
||||
|
||||
## Quick Start
|
||||
|
||||
### One-Line Launch
|
||||
|
||||
```bash
|
||||
uvx langbot
|
||||
```
|
||||
|
||||
访问 http://localhost:5300 即可开始使用。
|
||||
> Requires [uv](https://docs.astral.sh/uv/getting-started/installation/). Visit http://localhost:5300 — done.
|
||||
|
||||
#### Docker Compose 部署
|
||||
### Docker Compose
|
||||
|
||||
```bash
|
||||
git clone https://github.com/langbot-app/LangBot
|
||||
@@ -51,127 +66,102 @@ cd LangBot/docker
|
||||
docker compose up -d
|
||||
```
|
||||
|
||||
访问 http://localhost:5300 即可开始使用。
|
||||
|
||||
详细文档[Docker 部署](https://docs.langbot.app/zh/deploy/langbot/docker.html)。
|
||||
|
||||
#### 宝塔面板部署
|
||||
|
||||
已上架宝塔面板，若您已安装宝塔面板，可以根据[文档](https://docs.langbot.app/zh/deploy/langbot/one-click/bt.html)使用。
|
||||
|
||||
#### Zeabur 云部署
|
||||
|
||||
社区贡献的 Zeabur 模板。
|
||||
|
||||
[](https://zeabur.com/zh-CN/templates/ZKTBDH)
|
||||
|
||||
#### Railway 云部署
|
||||
### One-Click Cloud Deploy
|
||||
|
||||
[](https://zeabur.com/en-US/templates/ZKTBDH)
|
||||
[](https://railway.app/template/yRrAyL?referralCode=vogKPF)
|
||||
|
||||
#### 手动部署
|
||||
**More options:** [Docker](https://docs.langbot.app/en/deploy/langbot/docker.html) · [Manual](https://docs.langbot.app/en/deploy/langbot/manual.html) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
|
||||
|
||||
直接使用发行版运行，查看文档[手动部署](https://docs.langbot.app/zh/deploy/langbot/manual.html)。
|
||||
---
|
||||
|
||||
#### Kubernetes 部署
|
||||
## Supported Platforms
|
||||
|
||||
参考 [Kubernetes 部署](./docker/README_K8S.md) 文档。
|
||||
|
||||
## 😎 保持更新
|
||||
|
||||
点击仓库右上角 Star 和 Watch 按钮，获取最新动态。
|
||||
|
||||
|
||||
|
||||
## ✨ 特性
|
||||
|
||||
<img width="500" src="https://docs.langbot.app/ui/bot-page-zh-rounded.png" />
|
||||
|
||||
|
||||
- 💬 大模型对话、Agent：支持多种大模型，适配群聊和私聊；具有多轮对话、工具调用、多模态、流式输出能力，自带 RAG（知识库）实现，并深度适配 [Dify](https://dify.ai)、[Coze](https://coze.com)、[n8n](https://n8n.io)、[Langflow](https://langflow.org)等 LLMOps 平台。
|
||||
- 🤖 多平台支持：目前支持 QQ、QQ频道、企业微信、个人微信、飞书、Discord、Telegram、KOOK、Slack、LINE 等平台。
|
||||
- 🛠️ 高稳定性、功能完备：原生支持访问控制、限速、敏感词过滤等机制；配置简单，支持多种部署方式。
|
||||
- 🧩 插件扩展、活跃社区：高稳定性、高安全性的生产级插件系统，支持事件驱动、组件扩展等插件机制；适配 Anthropic [MCP 协议](https://modelcontextprotocol.io/)；目前已有数百个插件。
|
||||
- 😻 Web 管理面板：提供先进的 WebUI 管理面板，用最直观的方式配置、管理、监控机器人。
|
||||
- 📊 生产级特性：支持多流水线配置，不同机器人用于不同应用场景。具有全面的监控和异常处理能力。已被多家企业采用。
|
||||
|
||||
详细规格特性请访问[文档](https://docs.langbot.app/zh/insight/features.html)。
|
||||
|
||||
或访问 demo 环境：https://demo.langbot.dev/
|
||||
- 登录信息：邮箱：`demo@langbot.app` 密码：`langbot123456`
|
||||
- 注意：仅展示 WebUI 效果，公开环境，请不要在其中填入您的任何敏感信息。
|
||||
|
||||
### 消息平台
|
||||
|
||||
| 平台 | 状态 | 备注 |
|
||||
| --- | --- | --- |
|
||||
| QQ 个人号 | ✅ | QQ 个人号私聊、群聊 |
|
||||
| QQ 官方机器人 | ✅ | QQ 官方机器人，支持频道、私聊、群聊 |
|
||||
| 企业微信 | ✅ | |
|
||||
| 企微对外客服 | ✅ | |
|
||||
| 企微智能机器人 | ✅ | |
|
||||
| 个人微信 | ✅ | |
|
||||
| 微信公众号 | ✅ | |
|
||||
| 飞书 | ✅ | |
|
||||
| 钉钉 | ✅ | |
|
||||
| KOOK | ✅ | |
|
||||
| Platform | Status | Notes |
|
||||
|----------|--------|-------|
|
||||
| Discord | ✅ | |
|
||||
| Telegram | ✅ | |
|
||||
| Slack | ✅ | |
|
||||
| LINE | ✅ | |
|
||||
| QQ | ✅ | Personal & Official API |
|
||||
| WeCom | ✅ | Enterprise WeChat, External CS, AI Bot |
|
||||
| WeChat | ✅ | Personal & Official Account |
|
||||
| Lark | ✅ | |
|
||||
| DingTalk | ✅ | |
|
||||
| KOOK | ✅ | |
|
||||
| Satori | ✅ | |
|
||||
|
||||
### 大模型能力
|
||||
---
|
||||
|
||||
| 模型 | 状态 | 备注 |
|
||||
| --- | --- | --- |
|
||||
| [OpenAI](https://platform.openai.com/) | ✅ | 可接入任何 OpenAI 接口格式模型 |
|
||||
| [DeepSeek](https://www.deepseek.com/) | ✅ | |
|
||||
| [Moonshot](https://www.moonshot.cn/) | ✅ | |
|
||||
| [Anthropic](https://www.anthropic.com/) | ✅ | |
|
||||
| [xAI](https://x.ai/) | ✅ | |
|
||||
| [智谱AI](https://open.bigmodel.cn/) | ✅ | |
|
||||
| [胜算云](https://www.shengsuanyun.com/?from=CH_KYIPP758) | ✅ | 全球大模型都可调用（友情推荐） |
|
||||
| [优云智算](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | ✅ | 大模型和 GPU 资源平台 |
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | 大模型和 GPU 资源平台 |
|
||||
| [接口 AI](https://jiekou.ai/) | ✅ | 大模型聚合平台，专注全球大模型接入 |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | ✅ | 大模型聚合平台 |
|
||||
| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | ✅ | |
|
||||
| [Dify](https://dify.ai) | ✅ | LLMOps 平台 |
|
||||
| [Ollama](https://ollama.com/) | ✅ | 本地大模型运行平台 |
|
||||
| [LMStudio](https://lmstudio.ai/) | ✅ | 本地大模型运行平台 |
|
||||
| [GiteeAI](https://ai.gitee.com/) | ✅ | 大模型接口聚合平台 |
|
||||
| [SiliconFlow](https://siliconflow.cn/) | ✅ | 大模型聚合平台 |
|
||||
| [小马算力](https://www.tokenpony.cn/453z1) | ✅ | 大模型聚合平台 |
|
||||
| [阿里云百炼](https://bailian.console.aliyun.com/) | ✅ | 大模型聚合平台, LLMOps 平台 |
|
||||
| [火山方舟](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | ✅ | 大模型聚合平台, LLMOps 平台 |
|
||||
| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | ✅ | 大模型聚合平台 |
|
||||
| [MCP](https://modelcontextprotocol.io/) | ✅ | 支持通过 MCP 协议获取工具 |
|
||||
| [百宝箱Tbox](https://www.tbox.cn/open) | ✅ | 蚂蚁百宝箱智能体平台，每月免费10亿大模型Token |
|
||||
## Supported LLMs & Integrations
|
||||
|
||||
### TTS
|
||||
| Provider | Type | Status |
|
||||
|----------|------|--------|
|
||||
| [OpenAI](https://platform.openai.com/) | LLM | ✅ |
|
||||
| [Anthropic](https://www.anthropic.com/) | LLM | ✅ |
|
||||
| [DeepSeek](https://www.deepseek.com/) | LLM | ✅ |
|
||||
| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | LLM | ✅ |
|
||||
| [xAI](https://x.ai/) | LLM | ✅ |
|
||||
| [Moonshot](https://www.moonshot.cn/) | LLM | ✅ |
|
||||
| [Zhipu AI](https://open.bigmodel.cn/) | LLM | ✅ |
|
||||
| [Ollama](https://ollama.com/) | Local LLM | ✅ |
|
||||
| [LM Studio](https://lmstudio.ai/) | Local LLM | ✅ |
|
||||
| [Dify](https://dify.ai) | LLMOps | ✅ |
|
||||
| [MCP](https://modelcontextprotocol.io/) | Protocol | ✅ |
|
||||
| [SiliconFlow](https://siliconflow.cn/) | Gateway | ✅ |
|
||||
| [Aliyun Bailian](https://bailian.console.aliyun.com/) | Gateway | ✅ |
|
||||
| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | Gateway | ✅ |
|
||||
| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | Gateway | ✅ |
|
||||
| [GiteeAI](https://ai.gitee.com/) | Gateway | ✅ |
|
||||
| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | GPU Platform | ✅ |
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | GPU Platform | ✅ |
|
||||
| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | GPU Platform | ✅ |
|
||||
| [接口 AI](https://jiekou.ai/) | Gateway | ✅ |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | Gateway | ✅ |
|
||||
|
||||
| 平台/模型 | 备注 |
|
||||
| --- | --- |
|
||||
| [FishAudio](https://fish.audio/zh-CN/discovery/) | [插件](https://github.com/the-lazy-me/NewChatVoice) |
|
||||
| [海豚 AI](https://www.ttson.cn/?source=thelazy) | [插件](https://github.com/the-lazy-me/NewChatVoice) |
|
||||
| [AzureTTS](https://portal.azure.com/) | [插件](https://github.com/Ingnaryk/LangBot_AzureTTS) |
|
||||
[→ View all integrations](https://docs.langbot.app/en/insight/features.html)
|
||||
|
||||
### 文生图
|
||||
---
|
||||
|
||||
| 平台/模型 | 备注 |
|
||||
| --- | --- |
|
||||
| 阿里云百炼 | [插件](https://github.com/Thetail001/LangBot_BailianTextToImagePlugin)
|
||||
## Why LangBot?
|
||||
|
||||
## 😘 社区贡献
|
||||
| Use Case | How LangBot Helps |
|
||||
|----------|-------------------|
|
||||
| **Customer Support** | Deploy AI agents to Slack/Discord/Telegram that answer questions using your knowledge base |
|
||||
| **Internal Tools** | Connect n8n/Dify workflows to WeCom/DingTalk for automated business processes |
|
||||
| **Community Management** | Moderate QQ/Discord groups with AI-powered content filtering and interaction |
|
||||
| **Multi-Platform Presence** | One bot, all platforms. Manage from a single dashboard |
|
||||
|
||||
感谢以下[代码贡献者](https://github.com/langbot-app/LangBot/graphs/contributors)和社区里其他成员对 LangBot 的贡献：
|
||||
---
|
||||
|
||||
## Live Demo
|
||||
|
||||
**Try it now:** https://demo.langbot.dev/
|
||||
- Email: `demo@langbot.app`
|
||||
- Password: `langbot123456`
|
||||
|
||||
*Note: Public demo environment. Do not enter sensitive information.*
|
||||
|
||||
---
|
||||
|
||||
## Community
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
|
||||
- [Discord Community](https://discord.gg/wdNEHETs87)
|
||||
|
||||
---
|
||||
|
||||
## Star History
|
||||
|
||||
[](https://star-history.com/#langbot-app/LangBot&Date)
|
||||
|
||||
---
|
||||
|
||||
## Contributors
|
||||
|
||||
Thanks to all [contributors](https://github.com/langbot-app/LangBot/graphs/contributors) who have helped make LangBot better:
|
||||
|
||||
<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
|
||||
<img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
|
||||
</a>
|
||||
|
||||
<!--
|
||||
## For Code Agents
|
||||
|
||||
If you're a code agent based on LLM, you should read [AGENTS.md](AGENTS.md) to understand the project structure and development process before you start any development.
|
||||
-->
|
||||
|
||||
192
README_CN.md
Normal file
192
README_CN.md
Normal file
@@ -0,0 +1,192 @@
|
||||
<p align="center">
|
||||
<a href="https://langbot.app">
|
||||
<img width="130" src="res/logo-blue.png" alt="LangBot"/>
|
||||
</a>
|
||||
|
||||
<div align="center">
|
||||
|
||||
<a href="https://hellogithub.com/repository/langbot-app/LangBot" target="_blank"><img src="https://abroad.hellogithub.com/v1/widgets/recommend.svg?rid=5ce8ae2aa4f74316bf393b57b952433c&claim_uid=gtmc6YWjMZkT21R" alt="Featured｜HelloGitHub" style="width: 250px; height: 54px;" width="250" height="54" /></a>
|
||||
|
||||
<h3>生产级 AI 即时通信机器人开发平台。</h3>
|
||||
<h4>快速构建、调试和部署 AI 机器人到微信、QQ、飞书、Slack、Discord、Telegram 等平台。</h4>
|
||||
|
||||
[English](README.md) / 简体中文 / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
[](https://qm.qq.com/q/DxZZcNxM1W)
|
||||
[](https://deepwiki.com/langbot-app/LangBot)
|
||||
[](https://github.com/langbot-app/LangBot/releases/latest)
|
||||
<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
|
||||
[](https://github.com/langbot-app/LangBot/stargazers)
|
||||
[](https://gitcode.com/RockChinQ/LangBot)
|
||||
|
||||
<a href="https://langbot.app">官网</a> ｜
|
||||
<a href="https://docs.langbot.app/zh/insight/features.html">特性</a> ｜
|
||||
<a href="https://docs.langbot.app/zh/insight/guide.html">文档</a> ｜
|
||||
<a href="https://docs.langbot.app/zh/tags/readme.html">API</a> ｜
|
||||
<a href="https://space.langbot.app">插件市场</a> ｜
|
||||
<a href="https://langbot.featurebase.app/roadmap">路线图</a>
|
||||
|
||||
</div>
|
||||
|
||||
</p>
|
||||
|
||||
---
|
||||
|
||||
## 什么是 LangBot？
|
||||
|
||||
LangBot 是一个**开源的生产级平台**，用于构建 AI 驱动的即时通信机器人。它将大语言模型（LLM）连接到各种聊天平台，帮助你创建能够对话、执行任务、并集成到现有工作流程中的智能 Agent。
|
||||
|
||||
### 核心能力
|
||||
|
||||
- **AI 对话与 Agent** — 多轮对话、工具调用、多模态、流式输出。自带 RAG（知识库），深度集成 [Dify](https://dify.ai)、[Coze](https://coze.com)、[n8n](https://n8n.io)、[Langflow](https://langflow.org) 等 LLMOps 平台。
|
||||
- **全平台支持** — 一套代码，覆盖 QQ、微信、企业微信、飞书、钉钉、Discord、Telegram、Slack、LINE、KOOK 等平台。
|
||||
- **生产就绪** — 访问控制、限速、敏感词过滤、全面监控与异常处理，已被多家企业采用。
|
||||
- **插件生态** — 数百个插件，事件驱动架构，组件扩展，适配 [MCP 协议](https://modelcontextprotocol.io/)。
|
||||
- **Web 管理面板** — 通过浏览器直观地配置、管理和监控机器人，无需手动编辑配置文件。
|
||||
- **多流水线架构** — 不同机器人用于不同场景，具备全面的监控和异常处理能力。
|
||||
|
||||
[→ 了解更多功能特性](https://docs.langbot.app/zh/insight/features.html)
|
||||
|
||||
---
|
||||
|
||||
## 快速开始
|
||||
|
||||
### 一键启动
|
||||
|
||||
```bash
|
||||
uvx langbot
|
||||
```
|
||||
|
||||
> 需要安装 [uv](https://docs.astral.sh/uv/getting-started/installation/)。访问 http://localhost:5300 即可使用。
|
||||
|
||||
### Docker Compose
|
||||
|
||||
```bash
|
||||
git clone https://github.com/langbot-app/LangBot
|
||||
cd LangBot/docker
|
||||
docker compose up -d
|
||||
```
|
||||
|
||||
### 一键云部署
|
||||
|
||||
[](https://zeabur.com/zh-CN/templates/ZKTBDH)
|
||||
[](https://railway.app/template/yRrAyL?referralCode=vogKPF)
|
||||
|
||||
**更多方式：** [Docker](https://docs.langbot.app/zh/deploy/langbot/docker.html) · [手动部署](https://docs.langbot.app/zh/deploy/langbot/manual.html) · [宝塔面板](https://docs.langbot.app/zh/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
|
||||
|
||||
---
|
||||
|
||||
## 支持的平台
|
||||
|
||||
| 平台 | 状态 | 备注 |
|
||||
|------|------|------|
|
||||
| QQ | ✅ | 个人号、官方机器人（频道、私聊、群聊） |
|
||||
| 微信 | ✅ | 个人微信、微信公众号 |
|
||||
| 企业微信 | ✅ | 应用消息、对外客服、智能机器人 |
|
||||
| 飞书 | ✅ | |
|
||||
| 钉钉 | ✅ | |
|
||||
| Discord | ✅ | |
|
||||
| Telegram | ✅ | |
|
||||
| Slack | ✅ | |
|
||||
| LINE | ✅ | |
|
||||
| KOOK | ✅ | |
|
||||
|
||||
---
|
||||
|
||||
## 支持的大模型与集成
|
||||
|
||||
| 提供商 | 类型 | 状态 |
|
||||
|--------|------|------|
|
||||
| [OpenAI](https://platform.openai.com/) | LLM | ✅ |
|
||||
| [Anthropic](https://www.anthropic.com/) | LLM | ✅ |
|
||||
| [DeepSeek](https://www.deepseek.com/) | LLM | ✅ |
|
||||
| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | LLM | ✅ |
|
||||
| [xAI](https://x.ai/) | LLM | ✅ |
|
||||
| [Moonshot](https://www.moonshot.cn/) | LLM | ✅ |
|
||||
| [智谱AI](https://open.bigmodel.cn/) | LLM | ✅ |
|
||||
| [Ollama](https://ollama.com/) | 本地 LLM | ✅ |
|
||||
| [LM Studio](https://lmstudio.ai/) | 本地 LLM | ✅ |
|
||||
| [Dify](https://dify.ai) | LLMOps | ✅ |
|
||||
| [MCP](https://modelcontextprotocol.io/) | 协议 | ✅ |
|
||||
| [SiliconFlow](https://siliconflow.cn/) | 聚合平台 | ✅ |
|
||||
| [阿里云百炼](https://bailian.console.aliyun.com/) | 聚合平台 | ✅ |
|
||||
| [火山方舟](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | 聚合平台 | ✅ |
|
||||
| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | 聚合平台 | ✅ |
|
||||
| [GiteeAI](https://ai.gitee.com/) | 聚合平台 | ✅ |
|
||||
| [胜算云](https://www.shengsuanyun.com/?from=CH_KYIPP758) | GPU 平台 | ✅ |
|
||||
| [优云智算](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | GPU 平台 | ✅ |
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | GPU 平台 | ✅ |
|
||||
| [接口 AI](https://jiekou.ai/) | 聚合平台 | ✅ |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | 聚合平台 | ✅ |
|
||||
| [小马算力](https://www.tokenpony.cn/453z1) | 聚合平台 | ✅ |
|
||||
| [百宝箱Tbox](https://www.tbox.cn/open) | 智能体平台 | ✅ |
|
||||
|
||||
[→ 查看完整集成列表](https://docs.langbot.app/zh/insight/features.html)
|
||||
|
||||
### TTS（语音合成）
|
||||
|
||||
| 平台/模型 | 备注 |
|
||||
|-----------|------|
|
||||
| [FishAudio](https://fish.audio/zh-CN/discovery/) | [插件](https://github.com/the-lazy-me/NewChatVoice) |
|
||||
| [海豚 AI](https://www.ttson.cn/?source=thelazy) | [插件](https://github.com/the-lazy-me/NewChatVoice) |
|
||||
| [AzureTTS](https://portal.azure.com/) | [插件](https://github.com/Ingnaryk/LangBot_AzureTTS) |
|
||||
|
||||
### 文生图
|
||||
|
||||
| 平台/模型 | 备注 |
|
||||
|-----------|------|
|
||||
| 阿里云百炼 | [插件](https://github.com/Thetail001/LangBot_BailianTextToImagePlugin) |
|
||||
|
||||
---
|
||||
|
||||
## 为什么选择 LangBot？
|
||||
|
||||
| 使用场景 | LangBot 如何帮助 |
|
||||
|----------|------------------|
|
||||
| **客户服务** | 将 AI Agent 部署到微信/企微/钉钉/飞书，基于知识库自动回答用户问题 |
|
||||
| **内部工具** | 将 n8n/Dify 工作流接入企微/钉钉，实现业务流程自动化 |
|
||||
| **社群运营** | 在 QQ/Discord 群中使用 AI 驱动的内容审核与智能互动 |
|
||||
| **多平台触达** | 一个机器人，覆盖所有平台。通过统一面板集中管理 |
|
||||
|
||||
---
|
||||
|
||||
## 在线演示
|
||||
|
||||
**立即体验：** https://demo.langbot.dev/
|
||||
- 邮箱：`demo@langbot.app`
|
||||
- 密码：`langbot123456`
|
||||
|
||||
*注意：公开演示环境，请不要在其中填入任何敏感信息。*
|
||||
|
||||
---
|
||||
|
||||
## 社区
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
[](https://qm.qq.com/q/DxZZcNxM1W)
|
||||
|
||||
- [Discord 社区](https://discord.gg/wdNEHETs87)
|
||||
- [QQ 社区群](https://qm.qq.com/q/DxZZcNxM1W)
|
||||
|
||||
---
|
||||
|
||||
## Star 趋势
|
||||
|
||||
[](https://star-history.com/#langbot-app/LangBot&Date)
|
||||
|
||||
---
|
||||
|
||||
## 贡献者
|
||||
|
||||
感谢所有[贡献者](https://github.com/langbot-app/LangBot/graphs/contributors)对 LangBot 的帮助：
|
||||
|
||||
<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
|
||||
<img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
|
||||
</a>
|
||||
|
||||
<!--
|
||||
## For Code Agents
|
||||
|
||||
If you're a code agent based on LLM, you should read [AGENTS.md](AGENTS.md) to understand the project structure and development process before you start any development.
|
||||
-->
|
||||
151
README_EN.md
151
README_EN.md
@@ -1,151 +0,0 @@
|
||||
<p align="center">
|
||||
<a href="https://langbot.app">
|
||||
<img width="130" src="https://docs.langbot.app/langbot-logo.png" alt="LangBot"/>
|
||||
</a>
|
||||
|
||||
<div align="center">
|
||||
|
||||
<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production-grade IM bot made easy. | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
|
||||
|
||||
<h3>Quickly build, debug, and ship IM bots with LangBot.</h3>
|
||||
|
||||
English / [简体中文](README.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
[](https://deepwiki.com/langbot-app/LangBot)
|
||||
[](https://github.com/langbot-app/LangBot/releases/latest)
|
||||
<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
|
||||
|
||||
<a href="https://langbot.app">Home</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/features.html">Features</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/guide.html">Deployment</a> ｜
|
||||
<a href="https://docs.langbot.app/en/tags/readme.html">API Integration</a> ｜
|
||||
<a href="https://space.langbot.app">Plugin Market</a> ｜
|
||||
<a href="https://langbot.featurebase.app/roadmap">Roadmap</a>
|
||||
|
||||
</div>
|
||||
|
||||
</p>
|
||||
|
||||
|
||||
## 📦 Getting Started
|
||||
|
||||
#### Quick Start
|
||||
|
||||
Use `uvx` to start with one command (need to install [uv](https://docs.astral.sh/uv/getting-started/installation/)):
|
||||
|
||||
```bash
|
||||
uvx langbot
|
||||
```
|
||||
|
||||
Visit http://localhost:5300 to start using it.
|
||||
|
||||
#### Docker Compose Deployment
|
||||
|
||||
```bash
|
||||
git clone https://github.com/langbot-app/LangBot
|
||||
cd LangBot/docker
|
||||
docker compose up -d
|
||||
```
|
||||
|
||||
Visit http://localhost:5300 to start using it.
|
||||
|
||||
Detailed documentation [Docker Deployment](https://docs.langbot.app/en/deploy/langbot/docker.html).
|
||||
|
||||
#### One-click Deployment on BTPanel
|
||||
|
||||
LangBot has been listed on the BTPanel, if you have installed the BTPanel, you can use the [document](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) to use it.
|
||||
|
||||
#### Zeabur Cloud Deployment
|
||||
|
||||
Community contributed Zeabur template.
|
||||
|
||||
[](https://zeabur.com/en-US/templates/ZKTBDH)
|
||||
|
||||
#### Railway Cloud Deployment
|
||||
|
||||
[](https://railway.app/template/yRrAyL?referralCode=vogKPF)
|
||||
|
||||
#### Other Deployment Methods
|
||||
|
||||
Directly use the released version to run, see the [Manual Deployment](https://docs.langbot.app/en/deploy/langbot/manual.html) documentation.
|
||||
|
||||
#### Kubernetes Deployment
|
||||
|
||||
Refer to the [Kubernetes Deployment](./docker/README_K8S.md) documentation.
|
||||
|
||||
## 😎 Stay Ahead
|
||||
|
||||
Click the Star and Watch button in the upper right corner of the repository to get the latest updates.
|
||||
|
||||
|
||||
|
||||
## ✨ Features
|
||||
|
||||
<img width="500" src="https://docs.langbot.app/ui/bot-page-en-rounded.png" />
|
||||
|
||||
|
||||
- 💬 Chat with LLM / Agent: Supports multiple LLMs, adapt to group chats and private chats; Supports multi-round conversations, tool calls, multi-modal, and streaming output capabilities. Built-in RAG (knowledge base) implementation, and deeply integrates with [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io), [Langflow](https://langflow.org) etc. LLMOps platforms.
|
||||
- 🤖 Multi-platform Support: Currently supports QQ, QQ Channel, WeCom, personal WeChat, Lark, DingTalk, Discord, Telegram, KOOK, Slack, LINE, etc.
|
||||
- 🛠️ High Stability, Feature-rich: Native access control, rate limiting, sensitive word filtering, etc. mechanisms; Easy to use, supports multiple deployment methods.
|
||||
- 🧩 Plugin Extension, Active Community: High stability, high security production-level plugin system; Support event-driven, component extension, etc. plugin mechanisms; Integrate Anthropic [MCP protocol](https://modelcontextprotocol.io/); Currently has hundreds of plugins.
|
||||
- 😻 Web UI: Support management LangBot instance through the browser. No need to manually write configuration files.
|
||||
- 📊 Production-grade Features: Supports multiple pipeline configurations, different bots can be used for different scenarios. Has comprehensive monitoring and exception handling capabilities.
|
||||
|
||||
For more detailed specifications, please refer to the [documentation](https://docs.langbot.app/en/insight/features.html).
|
||||
|
||||
Or visit the demo environment: https://demo.langbot.dev/
|
||||
- Login information: Email: `demo@langbot.app` Password: `langbot123456`
|
||||
- Note: For WebUI demo only, please do not fill in any sensitive information in the public environment.
|
||||
|
||||
### Message Platform
|
||||
|
||||
| Platform | Status | Remarks |
|
||||
| --- | --- | --- |
|
||||
| Discord | ✅ | |
|
||||
| Telegram | ✅ | |
|
||||
| Slack | ✅ | |
|
||||
| LINE | ✅ | |
|
||||
| Personal QQ | ✅ | |
|
||||
| QQ Official API | ✅ | |
|
||||
| WeCom | ✅ | |
|
||||
| WeComCS | ✅ | |
|
||||
| WeCom AI Bot | ✅ | |
|
||||
| Personal WeChat | ✅ | |
|
||||
| Lark | ✅ | |
|
||||
| DingTalk | ✅ | |
|
||||
| KOOK | ✅ | |
|
||||
|
||||
### LLMs
|
||||
|
||||
| LLM | Status | Remarks |
|
||||
| --- | --- | --- |
|
||||
| [OpenAI](https://platform.openai.com/) | ✅ | Available for any OpenAI interface format model |
|
||||
| [DeepSeek](https://www.deepseek.com/) | ✅ | |
|
||||
| [Moonshot](https://www.moonshot.cn/) | ✅ | |
|
||||
| [Anthropic](https://www.anthropic.com/) | ✅ | |
|
||||
| [xAI](https://x.ai/) | ✅ | |
|
||||
| [Zhipu AI](https://open.bigmodel.cn/) | ✅ | |
|
||||
| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | ✅ | LLM and GPU resource platform |
|
||||
| [Dify](https://dify.ai) | ✅ | LLMOps platform |
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | LLM and GPU resource platform |
|
||||
| [接口 AI](https://jiekou.ai/) | ✅ | LLM aggregation platform, dedicated to global LLMs |
|
||||
| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | ✅ | LLM and GPU resource platform |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | ✅ | LLM gateway(MaaS) |
|
||||
| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | ✅ | |
|
||||
| [Ollama](https://ollama.com/) | ✅ | Local LLM running platform |
|
||||
| [LMStudio](https://lmstudio.ai/) | ✅ | Local LLM running platform |
|
||||
| [GiteeAI](https://ai.gitee.com/) | ✅ | LLM interface gateway(MaaS) |
|
||||
| [SiliconFlow](https://siliconflow.cn/) | ✅ | LLM gateway(MaaS) |
|
||||
| [Aliyun Bailian](https://bailian.console.aliyun.com/) | ✅ | LLM gateway(MaaS), LLMOps platform |
|
||||
| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | ✅ | LLM gateway(MaaS), LLMOps platform |
|
||||
| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | ✅ | LLM gateway(MaaS) |
|
||||
| [MCP](https://modelcontextprotocol.io/) | ✅ | Support tool access through MCP protocol |
|
||||
|
||||
## 🤝 Community Contribution
|
||||
|
||||
Thank you for the following [code contributors](https://github.com/langbot-app/LangBot/graphs/contributors) and other members in the community for their contributions to LangBot:
|
||||
|
||||
<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
|
||||
<img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
|
||||
</a>
|
||||
194
README_ES.md
194
README_ES.md
@@ -1,25 +1,27 @@
|
||||
<p align="center">
|
||||
<a href="https://langbot.app">
|
||||
<img width="130" src="https://docs.langbot.app/langbot-logo.png" alt="LangBot"/>
|
||||
<img width="130" src="res/logo-blue.png" alt="LangBot"/>
|
||||
</a>
|
||||
|
||||
<div align="center">
|
||||
|
||||
<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production-grade IM bot made easy. | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
|
||||
|
||||
<h3>Cree, depure y despliegue bots de mensajería instantánea rápidamente con LangBot.</h3>
|
||||
<h3>Plataforma de grado de producción para construir bots de mensajería instantánea con agentes de IA.</h3>
|
||||
<h4>Construya, depure y despliegue bots de IA rápidamente en Slack, Discord, Telegram, WeChat y más.</h4>
|
||||
|
||||
[English](README_EN.md) / [简体中文](README.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / Español / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
|
||||
[English](README.md) / [简体中文](README_CN.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / Español / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
[](https://deepwiki.com/langbot-app/LangBot)
|
||||
[](https://github.com/langbot-app/LangBot/releases/latest)
|
||||
<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
|
||||
[](https://github.com/langbot-app/LangBot/stargazers)
|
||||
|
||||
<a href="https://langbot.app">Inicio</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/features.html">Características</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/guide.html">Despliegue</a> ｜
|
||||
<a href="https://docs.langbot.app/en/tags/readme.html">Integración API</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/guide.html">Documentación</a> ｜
|
||||
<a href="https://docs.langbot.app/en/tags/readme.html">API</a> ｜
|
||||
<a href="https://space.langbot.app">Mercado de Plugins</a> ｜
|
||||
<a href="https://langbot.featurebase.app/roadmap">Hoja de Ruta</a>
|
||||
|
||||
@@ -27,20 +29,36 @@
|
||||
|
||||
</p>
|
||||
|
||||
---
|
||||
|
||||
## 📦 Comenzar
|
||||
## ¿Qué es LangBot?
|
||||
|
||||
#### Inicio Rápido
|
||||
LangBot es una **plataforma de código abierto y grado de producción** para construir bots de mensajería instantánea impulsados por IA. Conecta modelos de lenguaje de gran escala (LLMs) con cualquier plataforma de chat, permitiéndole crear agentes inteligentes que pueden conversar, ejecutar tareas e integrarse con sus flujos de trabajo existentes.
|
||||
|
||||
Use `uvx` para iniciar con un comando (necesita instalar [uv](https://docs.astral.sh/uv/getting-started/installation/)):
|
||||
### Capacidades Clave
|
||||
|
||||
- **Conversaciones e Agentes IA** — Diálogos de múltiples turnos, llamadas a herramientas, soporte multimodal, salida en streaming. RAG (base de conocimientos) incorporado con integración profunda con [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io), [Langflow](https://langflow.org).
|
||||
- **Soporte Universal de Plataformas de MI** — Un solo código base para Discord, Telegram, Slack, LINE, QQ, WeChat, WeCom, Lark, DingTalk, KOOK.
|
||||
- **Listo para Producción** — Control de acceso, limitación de velocidad, filtrado de palabras sensibles, monitoreo completo y manejo de excepciones. De confianza para empresas.
|
||||
- **Ecosistema de Plugins** — Cientos de plugins, arquitectura basada en eventos, extensiones de componentes y soporte del [protocolo MCP](https://modelcontextprotocol.io/).
|
||||
- **Panel de Gestión Web** — Configure, gestione y monitoree sus bots a través de una interfaz de navegador intuitiva. Sin necesidad de editar YAML.
|
||||
- **Arquitectura Multi-Pipeline** — Diferentes bots para diferentes escenarios, con monitoreo completo y manejo de excepciones.
|
||||
|
||||
[→ Conocer más sobre todas las funcionalidades](https://docs.langbot.app/en/insight/features.html)
|
||||
|
||||
---
|
||||
|
||||
## Inicio Rápido
|
||||
|
||||
### Lanzamiento en una línea
|
||||
|
||||
```bash
|
||||
uvx langbot
|
||||
```
|
||||
|
||||
Visite http://localhost:5300 para comenzar a usarlo.
|
||||
> Requiere [uv](https://docs.astral.sh/uv/getting-started/installation/). Visite http://localhost:5300 — listo.
|
||||
|
||||
#### Despliegue con Docker Compose
|
||||
### Docker Compose
|
||||
|
||||
```bash
|
||||
git clone https://github.com/langbot-app/LangBot
|
||||
@@ -48,103 +66,101 @@ cd LangBot/docker
|
||||
docker compose up -d
|
||||
```
|
||||
|
||||
Visite http://localhost:5300 para comenzar a usarlo.
|
||||
|
||||
Documentación detallada [Despliegue con Docker](https://docs.langbot.app/en/deploy/langbot/docker.html).
|
||||
|
||||
#### Despliegue con un clic en BTPanel
|
||||
|
||||
LangBot ha sido listado en BTPanel. Si tiene BTPanel instalado, puede usar la [documentación](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) para usarlo.
|
||||
|
||||
#### Despliegue en la Nube Zeabur
|
||||
|
||||
Plantilla de Zeabur contribuida por la comunidad.
|
||||
### Despliegue en la Nube con un Clic
|
||||
|
||||
[](https://zeabur.com/en-US/templates/ZKTBDH)
|
||||
|
||||
#### Despliegue en la Nube Railway
|
||||
|
||||
[](https://railway.app/template/yRrAyL?referralCode=vogKPF)
|
||||
|
||||
#### Otros Métodos de Despliegue
|
||||
**Más opciones:** [Docker](https://docs.langbot.app/en/deploy/langbot/docker.html) · [Manual](https://docs.langbot.app/en/deploy/langbot/manual.html) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
|
||||
|
||||
Use directamente la versión publicada para ejecutar, consulte la documentación de [Despliegue Manual](https://docs.langbot.app/en/deploy/langbot/manual.html).
|
||||
---
|
||||
|
||||
#### Despliegue en Kubernetes
|
||||
## Plataformas Soportadas
|
||||
|
||||
Consulte la documentación de [Despliegue en Kubernetes](./docker/README_K8S.md).
|
||||
|
||||
## 😎 Manténgase Actualizado
|
||||
|
||||
Haga clic en los botones Star y Watch en la esquina superior derecha del repositorio para obtener las últimas actualizaciones.
|
||||
|
||||
|
||||
|
||||
## ✨ Características
|
||||
|
||||
<img width="500" src="https://docs.langbot.app/ui/bot-page-en-rounded.png" />
|
||||
|
||||
|
||||
- 💬 Chat con LLM / Agent: Compatible con múltiples LLMs, adaptado para chats grupales y privados; Admite conversaciones de múltiples rondas, llamadas a herramientas, capacidades multimodales y de salida en streaming. Implementación RAG (base de conocimientos) incorporada, e integración profunda con [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io), [Langflow](https://langflow.org) etc. LLMOps platforms.
|
||||
- 🤖 Soporte Multiplataforma: Actualmente compatible con QQ, QQ Channel, WeCom, WeChat personal, Lark, DingTalk, Discord, Telegram, KOOK, Slack, LINE, etc.
|
||||
- 🛠️ Alta Estabilidad, Rico en Funciones: Control de acceso nativo, limitación de velocidad, filtrado de palabras sensibles, etc.; Fácil de usar, admite múltiples métodos de despliegue.
|
||||
- 🧩 Extensión de Plugin, Comunidad Activa: Sistema de plugin de alta estabilidad, alta seguridad de nivel de producción; Compatible con mecanismos de plugin impulsados por eventos, extensión de componentes, etc.; Integración del protocolo [MCP](https://modelcontextprotocol.io/) de Anthropic; Actualmente cuenta con cientos de plugins.
|
||||
- 😻 Interfaz Web: Admite la gestión de instancias de LangBot a través del navegador. No es necesario escribir archivos de configuración manualmente.
|
||||
- 📊 Características de Nivel de Producción: Compatible con múltiples configuraciones de pipeline, diferentes bots para diferentes escenarios. Cuenta con capacidades completas de monitoreo y manejo de excepciones.
|
||||
|
||||
Para especificaciones más detalladas, consulte la [documentación](https://docs.langbot.app/en/insight/features.html).
|
||||
|
||||
O visite el entorno de demostración: https://demo.langbot.dev/
|
||||
- Información de inicio de sesión: Correo electrónico: `demo@langbot.app` Contraseña: `langbot123456`
|
||||
- Nota: Solo para demostración de WebUI, por favor no ingrese información confidencial en el entorno público.
|
||||
|
||||
### Plataformas de Mensajería
|
||||
|
||||
| Plataforma | Estado | Observaciones |
|
||||
| --- | --- | --- |
|
||||
| Plataforma | Estado | Notas |
|
||||
|----------|--------|-------|
|
||||
| Discord | ✅ | |
|
||||
| Telegram | ✅ | |
|
||||
| Slack | ✅ | |
|
||||
| LINE | ✅ | |
|
||||
| QQ Personal | ✅ | |
|
||||
| QQ API Oficial | ✅ | |
|
||||
| WeCom | ✅ | |
|
||||
| WeComCS | ✅ | |
|
||||
| WeCom AI Bot | ✅ | |
|
||||
| WeChat Personal | ✅ | |
|
||||
| QQ | ✅ | Personal y API Oficial |
|
||||
| WeCom | ✅ | WeChat Empresarial, CS Externo, AI Bot |
|
||||
| WeChat | ✅ | Personal y Cuenta Oficial |
|
||||
| Lark | ✅ | |
|
||||
| DingTalk | ✅ | |
|
||||
| KOOK | ✅ | |
|
||||
| Satori | ✅ | |
|
||||
|
||||
### LLMs
|
||||
---
|
||||
|
||||
| LLM | Estado | Observaciones |
|
||||
| --- | --- | --- |
|
||||
| [OpenAI](https://platform.openai.com/) | ✅ | Disponible para cualquier modelo con formato de interfaz OpenAI |
|
||||
| [DeepSeek](https://www.deepseek.com/) | ✅ | |
|
||||
| [Moonshot](https://www.moonshot.cn/) | ✅ | |
|
||||
| [Anthropic](https://www.anthropic.com/) | ✅ | |
|
||||
| [xAI](https://x.ai/) | ✅ | |
|
||||
| [Zhipu AI](https://open.bigmodel.cn/) | ✅ | |
|
||||
| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | ✅ | Plataforma de recursos LLM y GPU |
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | Plataforma de recursos LLM y GPU |
|
||||
| [接口 AI](https://jiekou.ai/) | ✅ | Plataforma de agregación LLM |
|
||||
| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | ✅ | Plataforma de recursos LLM y GPU |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | ✅ | Gateway LLM (MaaS) |
|
||||
| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | ✅ | |
|
||||
| [Dify](https://dify.ai) | ✅ | Plataforma LLMOps |
|
||||
| [Ollama](https://ollama.com/) | ✅ | Plataforma de ejecución de LLM local |
|
||||
| [LMStudio](https://lmstudio.ai/) | ✅ | Plataforma de ejecución de LLM local |
|
||||
| [GiteeAI](https://ai.gitee.com/) | ✅ | Gateway de interfaz LLM (MaaS) |
|
||||
| [SiliconFlow](https://siliconflow.cn/) | ✅ | Gateway LLM (MaaS) |
|
||||
| [Aliyun Bailian](https://bailian.console.aliyun.com/) | ✅ | Gateway LLM (MaaS), plataforma LLMOps |
|
||||
| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | ✅ | Gateway LLM (MaaS), plataforma LLMOps |
|
||||
| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | ✅ | Gateway LLM (MaaS) |
|
||||
| [MCP](https://modelcontextprotocol.io/) | ✅ | Compatible con acceso a herramientas a través del protocolo MCP |
|
||||
## LLMs e Integraciones Soportadas
|
||||
|
||||
## 🤝 Contribución de la Comunidad
|
||||
| Proveedor | Tipo | Estado |
|
||||
|----------|------|--------|
|
||||
| [OpenAI](https://platform.openai.com/) | LLM | ✅ |
|
||||
| [Anthropic](https://www.anthropic.com/) | LLM | ✅ |
|
||||
| [DeepSeek](https://www.deepseek.com/) | LLM | ✅ |
|
||||
| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | LLM | ✅ |
|
||||
| [xAI](https://x.ai/) | LLM | ✅ |
|
||||
| [Moonshot](https://www.moonshot.cn/) | LLM | ✅ |
|
||||
| [Zhipu AI](https://open.bigmodel.cn/) | LLM | ✅ |
|
||||
| [Ollama](https://ollama.com/) | LLM Local | ✅ |
|
||||
| [LM Studio](https://lmstudio.ai/) | LLM Local | ✅ |
|
||||
| [Dify](https://dify.ai) | LLMOps | ✅ |
|
||||
| [MCP](https://modelcontextprotocol.io/) | Protocolo | ✅ |
|
||||
| [SiliconFlow](https://siliconflow.cn/) | Pasarela | ✅ |
|
||||
| [Aliyun Bailian](https://bailian.console.aliyun.com/) | Pasarela | ✅ |
|
||||
| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | Pasarela | ✅ |
|
||||
| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | Pasarela | ✅ |
|
||||
| [GiteeAI](https://ai.gitee.com/) | Pasarela | ✅ |
|
||||
| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | Plataforma GPU | ✅ |
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | Plataforma GPU | ✅ |
|
||||
| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | Plataforma GPU | ✅ |
|
||||
| [接口 AI](https://jiekou.ai/) | Pasarela | ✅ |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | Pasarela | ✅ |
|
||||
|
||||
Gracias a los siguientes [contribuidores de código](https://github.com/langbot-app/LangBot/graphs/contributors) y otros miembros de la comunidad por sus contribuciones a LangBot:
|
||||
[→ Ver todas las integraciones](https://docs.langbot.app/en/insight/features.html)
|
||||
|
||||
---
|
||||
|
||||
## ¿Por qué LangBot?
|
||||
|
||||
| Caso de Uso | Cómo Ayuda LangBot |
|
||||
|----------|-------------------|
|
||||
| **Atención al cliente** | Despliegue agentes de IA en Slack/Discord/Telegram que respondan preguntas usando su base de conocimientos |
|
||||
| **Herramientas internas** | Conecte flujos de trabajo de n8n/Dify a WeCom/DingTalk para procesos empresariales automatizados |
|
||||
| **Gestión de comunidades** | Modere grupos de QQ/Discord con filtrado de contenido e interacción impulsados por IA |
|
||||
| **Presencia multiplataforma** | Un solo bot, todas las plataformas. Gestione desde un único panel de control |
|
||||
|
||||
---
|
||||
|
||||
## Demo en Vivo
|
||||
|
||||
**Pruébelo ahora:** https://demo.langbot.dev/
|
||||
- Correo electrónico: `demo@langbot.app`
|
||||
- Contraseña: `langbot123456`
|
||||
|
||||
*Nota: Entorno de demostración público. No ingrese información confidencial.*
|
||||
|
||||
---
|
||||
|
||||
## Comunidad
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
|
||||
- [Comunidad de Discord](https://discord.gg/wdNEHETs87)
|
||||
|
||||
---
|
||||
|
||||
## Historial de Stars
|
||||
|
||||
[](https://star-history.com/#langbot-app/LangBot&Date)
|
||||
|
||||
---
|
||||
|
||||
## Colaboradores
|
||||
|
||||
Gracias a todos los [colaboradores](https://github.com/langbot-app/LangBot/graphs/contributors) que han ayudado a mejorar LangBot:
|
||||
|
||||
<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
|
||||
<img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
|
||||
|
||||
195
README_FR.md
195
README_FR.md
@@ -1,25 +1,27 @@
|
||||
<p align="center">
|
||||
<a href="https://langbot.app">
|
||||
<img width="130" src="https://docs.langbot.app/langbot-logo.png" alt="LangBot"/>
|
||||
<img width="130" src="res/logo-blue.png" alt="LangBot"/>
|
||||
</a>
|
||||
|
||||
<div align="center">
|
||||
|
||||
<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production-grade IM bot made easy. | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
|
||||
|
||||
<h3>Créez, déboguez et déployez rapidement des bots de messagerie instantanée avec LangBot.</h3>
|
||||
<h3>Plateforme de niveau production pour construire des bots de messagerie instantanée avec agents IA.</h3>
|
||||
<h4>Créez, déboguez et déployez rapidement des bots IA sur Slack, Discord, Telegram, WeChat et plus.</h4>
|
||||
|
||||
[English](README_EN.md) / [简体中文](README.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / Français / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
|
||||
[English](README.md) / [简体中文](README_CN.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / Français / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
[](https://deepwiki.com/langbot-app/LangBot)
|
||||
[](https://github.com/langbot-app/LangBot/releases/latest)
|
||||
<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
|
||||
[](https://github.com/langbot-app/LangBot/stargazers)
|
||||
|
||||
<a href="https://langbot.app">Accueil</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/features.html">Fonctionnalités</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/guide.html">Déploiement</a> ｜
|
||||
<a href="https://docs.langbot.app/en/tags/readme.html">Intégration API</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/guide.html">Documentation</a> ｜
|
||||
<a href="https://docs.langbot.app/en/tags/readme.html">API</a> ｜
|
||||
<a href="https://space.langbot.app">Marché des Plugins</a> ｜
|
||||
<a href="https://langbot.featurebase.app/roadmap">Feuille de Route</a>
|
||||
|
||||
@@ -27,19 +29,36 @@
|
||||
|
||||
</p>
|
||||
|
||||
## 📦 Commencer
|
||||
---
|
||||
|
||||
#### Démarrage Rapide
|
||||
## Qu'est-ce que LangBot ?
|
||||
|
||||
Utilisez `uvx` pour démarrer avec une commande (besoin d'installer [uv](https://docs.astral.sh/uv/getting-started/installation/)) :
|
||||
LangBot est une **plateforme open-source de niveau production** pour créer des bots de messagerie instantanée alimentés par l'IA. Elle connecte les grands modèles de langage (LLMs) à n'importe quelle plateforme de chat, vous permettant de créer des agents intelligents capables de converser, d'exécuter des tâches et de s'intégrer à vos workflows existants.
|
||||
|
||||
### Capacités Clés
|
||||
|
||||
- **Conversations IA & Agents** — Dialogues multi-tours, appels d'outils, support multimodal, sortie en streaming. RAG (base de connaissances) intégré avec intégration profonde de [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io), [Langflow](https://langflow.org).
|
||||
- **Support Universel des Plateformes de MI** — Un seul code pour Discord, Telegram, Slack, LINE, QQ, WeChat, WeCom, Lark, DingTalk, KOOK.
|
||||
- **Prêt pour la Production** — Contrôle d'accès, limitation de débit, filtrage de mots sensibles, surveillance complète et gestion des exceptions. Approuvé par les entreprises.
|
||||
- **Écosystème de Plugins** — Des centaines de plugins, architecture événementielle, extensions de composants, et support du [protocole MCP](https://modelcontextprotocol.io/).
|
||||
- **Panneau de Gestion Web** — Configurez, gérez et surveillez vos bots via une interface navigateur intuitive. Aucune édition de YAML requise.
|
||||
- **Architecture Multi-Pipeline** — Différents bots pour différents scénarios, avec surveillance complète et gestion des exceptions.
|
||||
|
||||
[→ En savoir plus sur toutes les fonctionnalités](https://docs.langbot.app/en/insight/features.html)
|
||||
|
||||
---
|
||||
|
||||
## Démarrage Rapide
|
||||
|
||||
### Lancement en une ligne
|
||||
|
||||
```bash
|
||||
uvx langbot
|
||||
```
|
||||
|
||||
Visitez http://localhost:5300 pour commencer à l'utiliser.
|
||||
> Nécessite [uv](https://docs.astral.sh/uv/getting-started/installation/). Visitez http://localhost:5300 — c'est prêt.
|
||||
|
||||
#### Déploiement avec Docker Compose
|
||||
### Docker Compose
|
||||
|
||||
```bash
|
||||
git clone https://github.com/langbot-app/LangBot
|
||||
@@ -47,103 +66,101 @@ cd LangBot/docker
|
||||
docker compose up -d
|
||||
```
|
||||
|
||||
Visitez http://localhost:5300 pour commencer à l'utiliser.
|
||||
|
||||
Documentation détaillée [Déploiement Docker](https://docs.langbot.app/en/deploy/langbot/docker.html).
|
||||
|
||||
#### Déploiement en un clic sur BTPanel
|
||||
|
||||
LangBot a été répertorié sur BTPanel. Si vous avez installé BTPanel, vous pouvez utiliser la [documentation](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) pour l'utiliser.
|
||||
|
||||
#### Déploiement Cloud Zeabur
|
||||
|
||||
Modèle Zeabur contribué par la communauté.
|
||||
### Déploiement Cloud en un Clic
|
||||
|
||||
[](https://zeabur.com/en-US/templates/ZKTBDH)
|
||||
|
||||
#### Déploiement Cloud Railway
|
||||
|
||||
[](https://railway.app/template/yRrAyL?referralCode=vogKPF)
|
||||
|
||||
#### Autres Méthodes de Déploiement
|
||||
**Plus d'options :** [Docker](https://docs.langbot.app/en/deploy/langbot/docker.html) · [Manuel](https://docs.langbot.app/en/deploy/langbot/manual.html) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
|
||||
|
||||
Utilisez directement la version publiée pour exécuter, consultez la documentation de [Déploiement Manuel](https://docs.langbot.app/en/deploy/langbot/manual.html).
|
||||
---
|
||||
|
||||
#### Déploiement Kubernetes
|
||||
## Plateformes Supportées
|
||||
|
||||
Consultez la documentation de [Déploiement Kubernetes](./docker/README_K8S.md).
|
||||
|
||||
## 😎 Restez à Jour
|
||||
|
||||
Cliquez sur les boutons Star et Watch dans le coin supérieur droit du dépôt pour obtenir les dernières mises à jour.
|
||||
|
||||
|
||||
|
||||
## ✨ Fonctionnalités
|
||||
|
||||
<img width="500" src="https://docs.langbot.app/ui/bot-page-en-rounded.png" />
|
||||
|
||||
|
||||
- 💬 Chat avec LLM / Agent : Prend en charge plusieurs LLM, adapté aux chats de groupe et privés ; Prend en charge les conversations multi-tours, les appels d'outils, les capacités multimodales et de sortie en streaming. Implémentation RAG (base de connaissances) intégrée, et intégration profonde avec [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io), [Langflow](https://langflow.org) etc. LLMOps platforms.
|
||||
- 🤖 Support Multi-plateforme : Actuellement compatible avec QQ, QQ Channel, WeCom, WeChat personnel, Lark, DingTalk, Discord, Telegram, KOOK, Slack, LINE, etc.
|
||||
- 🛠️ Haute Stabilité, Riche en Fonctionnalités : Contrôle d'accès natif, limitation de débit, filtrage de mots sensibles, etc. ; Facile à utiliser, prend en charge plusieurs méthodes de déploiement.
|
||||
- 🧩 Extension de Plugin, Communauté Active : Système de plugin de haute stabilité, haute sécurité de niveau production; Prend en charge les mécanismes de plugin pilotés par événements, l'extension de composants, etc. ; Intégration du protocole [MCP](https://modelcontextprotocol.io/) d'Anthropic ; Dispose actuellement de centaines de plugins.
|
||||
- 😻 Interface Web : Prend en charge la gestion des instances LangBot via le navigateur. Pas besoin d'écrire manuellement les fichiers de configuration.
|
||||
- 📊 Fonctionnalités de Niveau Production : Prend en charge plusieurs configurations de pipeline, différents bots pour différents scénarios. Dispose de capacités complètes de surveillance et de gestion des exceptions.
|
||||
|
||||
Pour des spécifications plus détaillées, veuillez consulter la [documentation](https://docs.langbot.app/en/insight/features.html).
|
||||
|
||||
Ou visitez l'environnement de démonstration : https://demo.langbot.dev/
|
||||
- Informations de connexion : Email : `demo@langbot.app` Mot de passe : `langbot123456`
|
||||
- Note : Pour la démonstration WebUI uniquement, veuillez ne pas entrer d'informations sensibles dans l'environnement public.
|
||||
|
||||
### Plateformes de Messagerie
|
||||
|
||||
| Plateforme | Statut | Remarques |
|
||||
| --- | --- | --- |
|
||||
| Plateforme | Statut | Notes |
|
||||
|----------|--------|-------|
|
||||
| Discord | ✅ | |
|
||||
| Telegram | ✅ | |
|
||||
| Slack | ✅ | |
|
||||
| LINE | ✅ | |
|
||||
| QQ Personnel | ✅ | |
|
||||
| API Officielle QQ | ✅ | |
|
||||
| WeCom | ✅ | |
|
||||
| WeComCS | ✅ | |
|
||||
| WeCom AI Bot | ✅ | |
|
||||
| WeChat Personnel | ✅ | |
|
||||
| QQ | ✅ | Personnel & API Officielle |
|
||||
| WeCom | ✅ | WeChat Entreprise, CS Externe, AI Bot |
|
||||
| WeChat | ✅ | Personnel & Compte Officiel |
|
||||
| Lark | ✅ | |
|
||||
| DingTalk | ✅ | |
|
||||
| KOOK | ✅ | |
|
||||
| Satori | ✅ | |
|
||||
|
||||
### LLMs
|
||||
---
|
||||
|
||||
| LLM | Statut | Remarques |
|
||||
| --- | --- | --- |
|
||||
| [OpenAI](https://platform.openai.com/) | ✅ | Disponible pour tout modèle au format d'interface OpenAI |
|
||||
| [DeepSeek](https://www.deepseek.com/) | ✅ | |
|
||||
| [Moonshot](https://www.moonshot.cn/) | ✅ | |
|
||||
| [Anthropic](https://www.anthropic.com/) | ✅ | |
|
||||
| [xAI](https://x.ai/) | ✅ | |
|
||||
| [Zhipu AI](https://open.bigmodel.cn/) | ✅ | |
|
||||
| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | ✅ | Plateforme de ressources LLM et GPU |
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | Plateforme de ressources LLM et GPU |
|
||||
| [接口 AI](https://jiekou.ai/) | ✅ | Plateforme d'agrégation LLM |
|
||||
| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | ✅ | Plateforme de ressources LLM et GPU |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | ✅ | Passerelle LLM (MaaS) |
|
||||
| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | ✅ | |
|
||||
| [Dify](https://dify.ai) | ✅ | Plateforme LLMOps |
|
||||
| [Ollama](https://ollama.com/) | ✅ | Plateforme d'exécution LLM locale |
|
||||
| [LMStudio](https://lmstudio.ai/) | ✅ | Plateforme d'exécution LLM locale |
|
||||
| [GiteeAI](https://ai.gitee.com/) | ✅ | Passerelle d'interface LLM (MaaS) |
|
||||
| [SiliconFlow](https://siliconflow.cn/) | ✅ | Passerelle LLM (MaaS) |
|
||||
| [Aliyun Bailian](https://bailian.console.aliyun.com/) | ✅ | Passerelle LLM (MaaS), plateforme LLMOps |
|
||||
| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | ✅ | Passerelle LLM (MaaS), plateforme LLMOps |
|
||||
| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | ✅ | Passerelle LLM (MaaS) |
|
||||
| [MCP](https://modelcontextprotocol.io/) | ✅ | Prend en charge l'accès aux outils via le protocole MCP |
|
||||
## LLMs et Intégrations Supportés
|
||||
|
||||
## 🤝 Contribution de la Communauté
|
||||
| Fournisseur | Type | Statut |
|
||||
|----------|------|--------|
|
||||
| [OpenAI](https://platform.openai.com/) | LLM | ✅ |
|
||||
| [Anthropic](https://www.anthropic.com/) | LLM | ✅ |
|
||||
| [DeepSeek](https://www.deepseek.com/) | LLM | ✅ |
|
||||
| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | LLM | ✅ |
|
||||
| [xAI](https://x.ai/) | LLM | ✅ |
|
||||
| [Moonshot](https://www.moonshot.cn/) | LLM | ✅ |
|
||||
| [Zhipu AI](https://open.bigmodel.cn/) | LLM | ✅ |
|
||||
| [Ollama](https://ollama.com/) | LLM Local | ✅ |
|
||||
| [LM Studio](https://lmstudio.ai/) | LLM Local | ✅ |
|
||||
| [Dify](https://dify.ai) | LLMOps | ✅ |
|
||||
| [MCP](https://modelcontextprotocol.io/) | Protocole | ✅ |
|
||||
| [SiliconFlow](https://siliconflow.cn/) | Passerelle | ✅ |
|
||||
| [Aliyun Bailian](https://bailian.console.aliyun.com/) | Passerelle | ✅ |
|
||||
| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | Passerelle | ✅ |
|
||||
| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | Passerelle | ✅ |
|
||||
| [GiteeAI](https://ai.gitee.com/) | Passerelle | ✅ |
|
||||
| [接口 AI](https://jiekou.ai/) | Passerelle | ✅ |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | Passerelle | ✅ |
|
||||
| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | Plateforme GPU | ✅ |
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | Plateforme GPU | ✅ |
|
||||
| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | Plateforme GPU | ✅ |
|
||||
|
||||
Merci aux [contributeurs de code](https://github.com/langbot-app/LangBot/graphs/contributors) suivants et aux autres membres de la communauté pour leurs contributions à LangBot :
|
||||
[→ Voir toutes les intégrations](https://docs.langbot.app/en/insight/features.html)
|
||||
|
||||
---
|
||||
|
||||
## Pourquoi LangBot ?
|
||||
|
||||
| Cas d'Usage | Comment LangBot Aide |
|
||||
|----------|-------------------|
|
||||
| **Support Client** | Déployez des agents IA sur Slack/Discord/Telegram qui répondent aux questions en utilisant votre base de connaissances |
|
||||
| **Outils Internes** | Connectez les workflows n8n/Dify à WeCom/DingTalk pour automatiser vos processus métier |
|
||||
| **Gestion de Communauté** | Modérez les groupes QQ/Discord avec un filtrage de contenu et des interactions alimentés par l'IA |
|
||||
| **Présence Multi-plateforme** | Un seul bot, toutes les plateformes. Gérez tout depuis un tableau de bord unique |
|
||||
|
||||
---
|
||||
|
||||
## Démo en Ligne
|
||||
|
||||
**Essayez maintenant :** https://demo.langbot.dev/
|
||||
- Email : `demo@langbot.app`
|
||||
- Mot de passe : `langbot123456`
|
||||
|
||||
*Note : Environnement de démonstration public. Ne saisissez pas d'informations sensibles.*
|
||||
|
||||
---
|
||||
|
||||
## Communauté
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
|
||||
- [Communauté Discord](https://discord.gg/wdNEHETs87)
|
||||
|
||||
---
|
||||
|
||||
## Historique des Stars
|
||||
|
||||
[](https://star-history.com/#langbot-app/LangBot&Date)
|
||||
|
||||
---
|
||||
|
||||
## Contributeurs
|
||||
|
||||
Merci à tous les [contributeurs](https://github.com/langbot-app/LangBot/graphs/contributors) qui ont aidé à améliorer LangBot :
|
||||
|
||||
<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
|
||||
<img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
|
||||
|
||||
195
README_JP.md
195
README_JP.md
@@ -1,25 +1,27 @@
|
||||
<p align="center">
|
||||
<a href="https://langbot.app">
|
||||
<img width="130" src="https://docs.langbot.app/langbot-logo.png" alt="LangBot"/>
|
||||
<img width="130" src="res/logo-blue.png" alt="LangBot"/>
|
||||
</a>
|
||||
|
||||
<div align="center">
|
||||
|
||||
<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production-grade IM bot made easy. | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
|
||||
|
||||
<h3>LangBotでIMボットを素早く構築、デバッグ、デプロイ。</h3>
|
||||
<h3>AIエージェント搭載IMボットを構築するための本番グレードプラットフォーム。</h3>
|
||||
<h4>Slack、Discord、Telegram、WeChat などに AI ボットを素早く構築、デバッグ、デプロイ。</h4>
|
||||
|
||||
[English](README_EN.md) / [简体中文](README.md) / [繁體中文](README_TW.md) / 日本語 / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
|
||||
[English](README.md) / [简体中文](README_CN.md) / [繁體中文](README_TW.md) / 日本語 / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
[](https://deepwiki.com/langbot-app/LangBot)
|
||||
[](https://github.com/langbot-app/LangBot/releases/latest)
|
||||
<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
|
||||
[](https://github.com/langbot-app/LangBot/stargazers)
|
||||
|
||||
<a href="https://langbot.app">ホーム</a> ｜
|
||||
<a href="https://docs.langbot.app/ja/insight/features.html">機能仕様</a> ｜
|
||||
<a href="https://docs.langbot.app/ja/insight/guide.html">デプロイ</a> ｜
|
||||
<a href="https://docs.langbot.app/ja/tags/readme.html">API統合</a> ｜
|
||||
<a href="https://docs.langbot.app/ja/insight/features.html">機能</a> ｜
|
||||
<a href="https://docs.langbot.app/ja/insight/guide.html">ドキュメント</a> ｜
|
||||
<a href="https://docs.langbot.app/ja/tags/readme.html">API</a> ｜
|
||||
<a href="https://space.langbot.app">プラグインマーケット</a> ｜
|
||||
<a href="https://langbot.featurebase.app/roadmap">ロードマップ</a>
|
||||
|
||||
@@ -27,19 +29,36 @@
|
||||
|
||||
</p>
|
||||
|
||||
## 📦 始め方
|
||||
---
|
||||
|
||||
#### クイックスタート
|
||||
## LangBot とは？
|
||||
|
||||
`uvx` を使用した迅速なデプロイ（[uv](https://docs.astral.sh/uv/getting-started/installation/) が必要です）：
|
||||
LangBot は、AI搭載のインスタントメッセージングボットを構築するための**オープンソースの本番グレードプラットフォーム**です。大規模言語モデル（LLM）をあらゆるチャットプラットフォームに接続し、会話、タスク実行、既存のワークフローとの統合が可能なインテリジェントエージェントを作成できます。
|
||||
|
||||
### 主な機能
|
||||
|
||||
- **AI対話とエージェント** — マルチターン対話、ツール呼び出し、マルチモーダル対応、ストリーミング出力。RAG（ナレッジベース）を内蔵し、[Dify](https://dify.ai)、[Coze](https://coze.com)、[n8n](https://n8n.io)、[Langflow](https://langflow.org) と深く統合。
|
||||
- **ユニバーサルIMプラットフォーム対応** — 単一のコードベースで Discord、Telegram、Slack、LINE、QQ、WeChat、WeCom、Lark、DingTalk、KOOK に対応。
|
||||
- **本番環境対応** — アクセス制御、レート制限、センシティブワードフィルタリング、包括的な監視、例外処理を搭載。エンタープライズの信頼に応える品質。
|
||||
- **プラグインエコシステム** — 数百のプラグイン、イベント駆動アーキテクチャ、コンポーネント拡張、[MCPプロトコル](https://modelcontextprotocol.io/)対応。
|
||||
- **Web管理パネル** — 直感的なブラウザインターフェースからボットの設定、管理、監視が可能。YAML編集は不要。
|
||||
- **マルチパイプラインアーキテクチャ** — 異なるシナリオに異なるボットを配置し、包括的な監視と例外処理を実現。
|
||||
|
||||
[→ すべての機能について詳しく見る](https://docs.langbot.app/ja/insight/features.html)
|
||||
|
||||
---
|
||||
|
||||
## クイックスタート
|
||||
|
||||
### ワンライン起動
|
||||
|
||||
```bash
|
||||
uvx langbot
|
||||
```
|
||||
|
||||
http://localhost:5300 にアクセスして使用を開始します。
|
||||
> [uv](https://docs.astral.sh/uv/getting-started/installation/) が必要です。http://localhost:5300 にアクセスして完了。
|
||||
|
||||
#### Docker Compose デプロイ
|
||||
### Docker Compose
|
||||
|
||||
```bash
|
||||
git clone https://github.com/langbot-app/LangBot
|
||||
@@ -47,103 +66,101 @@ cd LangBot/docker
|
||||
docker compose up -d
|
||||
```
|
||||
|
||||
http://localhost:5300 にアクセスして使用を開始します。
|
||||
|
||||
詳細なドキュメントは[Dockerデプロイ](https://docs.langbot.app/en/deploy/langbot/docker.html)を参照してください。
|
||||
|
||||
#### Panelでのワンクリックデプロイ
|
||||
|
||||
LangBotはBTPanelにリストされています。BTPanelをインストールしている場合は、[ドキュメント](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html)を使用して使用できます。
|
||||
|
||||
#### Zeaburクラウドデプロイ
|
||||
|
||||
コミュニティが提供するZeaburテンプレート。
|
||||
### ワンクリッククラウドデプロイ
|
||||
|
||||
[](https://zeabur.com/en-US/templates/ZKTBDH)
|
||||
|
||||
#### Railwayクラウドデプロイ
|
||||
|
||||
[](https://railway.app/template/yRrAyL?referralCode=vogKPF)
|
||||
|
||||
#### その他のデプロイ方法
|
||||
**その他:** [Docker](https://docs.langbot.app/en/deploy/langbot/docker.html) · [手動デプロイ](https://docs.langbot.app/en/deploy/langbot/manual.html) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
|
||||
|
||||
リリースバージョンを直接使用して実行します。[手動デプロイ](https://docs.langbot.app/en/deploy/langbot/manual.html)のドキュメントを参照してください。
|
||||
---
|
||||
|
||||
#### Kubernetes デプロイ
|
||||
|
||||
[Kubernetes デプロイ](./docker/README_K8S.md) ドキュメントを参照してください。
|
||||
|
||||
## 😎 最新情報を入手
|
||||
|
||||
リポジトリの右上にある Star と Watch ボタンをクリックして、最新の更新を取得してください。
|
||||
|
||||
|
||||
|
||||
## ✨ 機能
|
||||
|
||||
<img width="500" src="https://docs.langbot.app/ui/bot-page-en-rounded.png" />
|
||||
|
||||
|
||||
- 💬 LLM / エージェントとのチャット: 複数のLLMをサポートし、グループチャットとプライベートチャットに対応。マルチラウンドの会話、ツールの呼び出し、マルチモーダル、ストリーミング出力機能をサポート、RAG（知識ベース）を組み込み、[Dify](https://dify.ai)、[Coze](https://coze.com)、[n8n](https://n8n.io)、[Langflow](https://langflow.org)などの LLMOps プラットフォームと深く統合。
|
||||
- 🤖 多プラットフォーム対応: 現在、QQ、QQ チャンネル、WeChat、個人 WeChat、Lark、DingTalk、Discord、Telegram、KOOK、Slack、LINE など、複数のプラットフォームをサポートしています。
|
||||
- 🛠️ 高い安定性、豊富な機能: ネイティブのアクセス制御、レート制限、敏感な単語のフィルタリングなどのメカニズムをサポート。使いやすく、複数のデプロイ方法をサポート。
|
||||
- 🧩 プラグイン拡張、活発なコミュニティ: 高い安定性、高いセキュリティの生産レベルのプラグインシステム；イベント駆動、コンポーネント拡張などのプラグインメカニズムをサポート。適配 Anthropic [MCP プロトコル](https://modelcontextprotocol.io/)；豊富なエコシステム、現在数百のプラグインが存在。
|
||||
- 😻 Web UI: ブラウザを通じてLangBotインスタンスを管理することをサポート。
|
||||
- 📊 生産レベルの機能: 複数のパイプライン設定をサポートし、異なるボットを異なる用途に使用できます。包括的な監視と例外処理機能を備えています。
|
||||
|
||||
詳細な仕様については、[ドキュメント](https://docs.langbot.app/en/insight/features.html)を参照してください。
|
||||
|
||||
または、デモ環境にアクセスしてください: https://demo.langbot.dev/
|
||||
- ログイン情報: メール: `demo@langbot.app` パスワード: `langbot123456`
|
||||
- 注意: WebUI のデモンストレーションのみの場合、公開環境では機密情報を入力しないでください。
|
||||
|
||||
### メッセージプラットフォーム
|
||||
## 対応プラットフォーム
|
||||
|
||||
| プラットフォーム | ステータス | 備考 |
|
||||
| --- | --- | --- |
|
||||
|----------|--------|-------|
|
||||
| Discord | ✅ | |
|
||||
| Telegram | ✅ | |
|
||||
| Slack | ✅ | |
|
||||
| LINE | ✅ | |
|
||||
| 個人QQ | ✅ | |
|
||||
| QQ公式API | ✅ | |
|
||||
| WeCom | ✅ | |
|
||||
| WeComCS | ✅ | |
|
||||
| WeCom AI Bot | ✅ | |
|
||||
| 個人WeChat | ✅ | |
|
||||
| QQ | ✅ | 個人 & 公式API |
|
||||
| WeCom | ✅ | 企業WeChat、外部CS、AIボット |
|
||||
| WeChat | ✅ | 個人 & 公式アカウント |
|
||||
| Lark | ✅ | |
|
||||
| DingTalk | ✅ | |
|
||||
| KOOK | ✅ | |
|
||||
| Satori | ✅ | |
|
||||
|
||||
### LLMs
|
||||
---
|
||||
|
||||
| LLM | ステータス | 備考 |
|
||||
| --- | --- | --- |
|
||||
| [OpenAI](https://platform.openai.com/) | ✅ | 任意のOpenAIインターフェース形式モデルに対応 |
|
||||
| [DeepSeek](https://www.deepseek.com/) | ✅ | |
|
||||
| [Moonshot](https://www.moonshot.cn/) | ✅ | |
|
||||
| [Anthropic](https://www.anthropic.com/) | ✅ | |
|
||||
| [xAI](https://x.ai/) | ✅ | |
|
||||
| [Zhipu AI](https://open.bigmodel.cn/) | ✅ | |
|
||||
| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | ✅ | 大模型とGPUリソースプラットフォーム |
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | 大模型とGPUリソースプラットフォーム |
|
||||
| [接口 AI](https://jiekou.ai/) | ✅ | LLMゲートウェイ(MaaS) |
|
||||
| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | ✅ | LLMとGPUリソースプラットフォーム |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | ✅ | LLMゲートウェイ(MaaS) |
|
||||
| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | ✅ | |
|
||||
| [Dify](https://dify.ai) | ✅ | LLMOpsプラットフォーム |
|
||||
| [Ollama](https://ollama.com/) | ✅ | ローカルLLM実行プラットフォーム |
|
||||
| [LMStudio](https://lmstudio.ai/) | ✅ | ローカルLLM実行プラットフォーム |
|
||||
| [GiteeAI](https://ai.gitee.com/) | ✅ | LLMインターフェースゲートウェイ(MaaS) |
|
||||
| [SiliconFlow](https://siliconflow.cn/) | ✅ | LLMゲートウェイ(MaaS) |
|
||||
| [Aliyun Bailian](https://bailian.console.aliyun.com/) | ✅ | LLMゲートウェイ(MaaS), LLMOpsプラットフォーム |
|
||||
| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | ✅ | LLMゲートウェイ(MaaS), LLMOpsプラットフォーム |
|
||||
| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | ✅ | LLMゲートウェイ(MaaS) |
|
||||
| [MCP](https://modelcontextprotocol.io/) | ✅ | MCPプロトコルをサポート |
|
||||
## 対応LLMと統合
|
||||
|
||||
## 🤝 コミュニティ貢献
|
||||
| プロバイダー | タイプ | ステータス |
|
||||
|----------|------|--------|
|
||||
| [OpenAI](https://platform.openai.com/) | LLM | ✅ |
|
||||
| [Anthropic](https://www.anthropic.com/) | LLM | ✅ |
|
||||
| [DeepSeek](https://www.deepseek.com/) | LLM | ✅ |
|
||||
| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | LLM | ✅ |
|
||||
| [xAI](https://x.ai/) | LLM | ✅ |
|
||||
| [Moonshot](https://www.moonshot.cn/) | LLM | ✅ |
|
||||
| [Zhipu AI](https://open.bigmodel.cn/) | LLM | ✅ |
|
||||
| [Ollama](https://ollama.com/) | ローカルLLM | ✅ |
|
||||
| [LM Studio](https://lmstudio.ai/) | ローカルLLM | ✅ |
|
||||
| [Dify](https://dify.ai) | LLMOps | ✅ |
|
||||
| [MCP](https://modelcontextprotocol.io/) | プロトコル | ✅ |
|
||||
| [SiliconFlow](https://siliconflow.cn/) | ゲートウェイ | ✅ |
|
||||
| [Aliyun Bailian](https://bailian.console.aliyun.com/) | ゲートウェイ | ✅ |
|
||||
| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | ゲートウェイ | ✅ |
|
||||
| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | ゲートウェイ | ✅ |
|
||||
| [GiteeAI](https://ai.gitee.com/) | ゲートウェイ | ✅ |
|
||||
| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | GPUプラットフォーム | ✅ |
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | GPUプラットフォーム | ✅ |
|
||||
| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | GPUプラットフォーム | ✅ |
|
||||
| [接口 AI](https://jiekou.ai/) | ゲートウェイ | ✅ |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | ゲートウェイ | ✅ |
|
||||
|
||||
LangBot への貢献に対して、以下の [コード貢献者](https://github.com/langbot-app/LangBot/graphs/contributors) とコミュニティの他のメンバーに感謝します。
|
||||
[→ すべての統合を表示](https://docs.langbot.app/en/insight/features.html)
|
||||
|
||||
---
|
||||
|
||||
## なぜ LangBot？
|
||||
|
||||
| ユースケース | LangBot の活用方法 |
|
||||
|----------|-------------------|
|
||||
| **カスタマーサポート** | ナレッジベースを活用して質問に回答するAIエージェントをSlack/Discord/Telegramにデプロイ |
|
||||
| **社内ツール** | n8n/Difyのワークフローを WeCom/DingTalk に接続し、業務プロセスを自動化 |
|
||||
| **コミュニティ管理** | AI搭載のコンテンツフィルタリングとインタラクションでQQ/Discordグループをモデレーション |
|
||||
| **マルチプラットフォーム展開** | 1つのボットで全プラットフォームに対応。単一のダッシュボードから管理 |
|
||||
|
||||
---
|
||||
|
||||
## ライブデモ
|
||||
|
||||
**今すぐ試す:** https://demo.langbot.dev/
|
||||
- メール: `demo@langbot.app`
|
||||
- パスワード: `langbot123456`
|
||||
|
||||
*注意: 公開デモ環境です。機密情報を入力しないでください。*
|
||||
|
||||
---
|
||||
|
||||
## コミュニティ
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
|
||||
- [Discord コミュニティ](https://discord.gg/wdNEHETs87)
|
||||
|
||||
---
|
||||
|
||||
## Star 推移
|
||||
|
||||
[](https://star-history.com/#langbot-app/LangBot&Date)
|
||||
|
||||
---
|
||||
|
||||
## コントリビューター
|
||||
|
||||
LangBot をより良くするために貢献してくださったすべての[コントリビューター](https://github.com/langbot-app/LangBot/graphs/contributors)に感謝します:
|
||||
|
||||
<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
|
||||
<img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
|
||||
|
||||
197
README_KO.md
197
README_KO.md
@@ -1,25 +1,27 @@
|
||||
<p align="center">
|
||||
<a href="https://langbot.app">
|
||||
<img width="130" src="https://docs.langbot.app/langbot-logo.png" alt="LangBot"/>
|
||||
<img width="130" src="res/logo-blue.png" alt="LangBot"/>
|
||||
</a>
|
||||
|
||||
<div align="center">
|
||||
|
||||
<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production-grade IM bot made easy. | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
|
||||
|
||||
<h3>LangBot으로 IM 봇을 빠르게 구축, 디버그 및 배포하세요.</h3>
|
||||
<h3>AI 에이전트 IM 봇 구축을 위한 프로덕션 등급 플랫폼.</h3>
|
||||
<h4>Slack, Discord, Telegram, WeChat 등에 AI 봇을 빠르게 구축, 디버그 및 배포.</h4>
|
||||
|
||||
[English](README_EN.md) / [简体中文](README.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / 한국어 / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
|
||||
[English](README.md) / [简体中文](README_CN.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / 한국어 / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
[](https://deepwiki.com/langbot-app/LangBot)
|
||||
[](https://github.com/langbot-app/LangBot/releases/latest)
|
||||
<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
|
||||
[](https://github.com/langbot-app/LangBot/stargazers)
|
||||
|
||||
<a href="https://langbot.app">홈</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/features.html">기능 사양</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/guide.html">배포</a> ｜
|
||||
<a href="https://docs.langbot.app/en/tags/readme.html">API 통합</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/features.html">기능</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/guide.html">문서</a> ｜
|
||||
<a href="https://docs.langbot.app/en/tags/readme.html">API</a> ｜
|
||||
<a href="https://space.langbot.app">플러그인 마켓</a> ｜
|
||||
<a href="https://langbot.featurebase.app/roadmap">로드맵</a>
|
||||
|
||||
@@ -27,19 +29,36 @@
|
||||
|
||||
</p>
|
||||
|
||||
## 📦 시작하기
|
||||
---
|
||||
|
||||
#### 빠른 시작
|
||||
## LangBot이란?
|
||||
|
||||
`uvx`를 사용하여 한 명령으로 시작하세요 ([uv](https://docs.astral.sh/uv/getting-started/installation/) 설치 필요):
|
||||
LangBot은 AI 기반 인스턴트 메시징 봇을 구축하기 위한 **오픈소스 프로덕션 등급 플랫폼**입니다. 대규모 언어 모델(LLM)을 모든 채팅 플랫폼에 연결하여 대화, 작업 실행, 기존 워크플로우와의 통합이 가능한 지능형 에이전트를 만들 수 있습니다.
|
||||
|
||||
### 핵심 기능
|
||||
|
||||
- **AI 대화 및 에이전트** — 멀티턴 대화, 도구 호출, 멀티모달 지원, 스트리밍 출력. 내장 RAG(지식 베이스)와 [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io), [Langflow](https://langflow.org) 심층 통합.
|
||||
- **유니버설 IM 플랫폼 지원** — 단일 코드베이스로 Discord, Telegram, Slack, LINE, QQ, WeChat, WeCom, Lark, DingTalk, KOOK 지원.
|
||||
- **프로덕션 레디** — 접근 제어, 속도 제한, 민감어 필터링, 종합 모니터링 및 예외 처리. 기업 환경에서 검증됨.
|
||||
- **플러그인 생태계** — 수백 개의 플러그인, 이벤트 기반 아키텍처, 컴포넌트 확장, [MCP 프로토콜](https://modelcontextprotocol.io/) 지원.
|
||||
- **웹 관리 패널** — 직관적인 브라우저 인터페이스로 봇을 구성, 관리 및 모니터링. YAML 편집 불필요.
|
||||
- **멀티 파이프라인 아키텍처** — 다양한 시나리오에 맞는 다양한 봇 구성, 종합 모니터링 및 예외 처리.
|
||||
|
||||
[→ 모든 기능 자세히 보기](https://docs.langbot.app/en/insight/features.html)
|
||||
|
||||
---
|
||||
|
||||
## 빠른 시작
|
||||
|
||||
### 원라인 실행
|
||||
|
||||
```bash
|
||||
uvx langbot
|
||||
```
|
||||
|
||||
http://localhost:5300을 방문하여 사용을 시작하세요.
|
||||
> [uv](https://docs.astral.sh/uv/getting-started/installation/) 설치 필요. http://localhost:5300 방문 — 완료.
|
||||
|
||||
#### Docker Compose 배포
|
||||
### Docker Compose
|
||||
|
||||
```bash
|
||||
git clone https://github.com/langbot-app/LangBot
|
||||
@@ -47,103 +66,101 @@ cd LangBot/docker
|
||||
docker compose up -d
|
||||
```
|
||||
|
||||
http://localhost:5300을 방문하여 사용을 시작하세요.
|
||||
|
||||
자세한 문서는 [Docker 배포](https://docs.langbot.app/en/deploy/langbot/docker.html)를 참조하세요.
|
||||
|
||||
#### BTPanel 원클릭 배포
|
||||
|
||||
LangBot은 BTPanel에 등록되어 있습니다. BTPanel을 설치한 경우 [문서](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html)를 사용하여 사용할 수 있습니다.
|
||||
|
||||
#### Zeabur 클라우드 배포
|
||||
|
||||
커뮤니티에서 제공하는 Zeabur 템플릿입니다.
|
||||
### 원클릭 클라우드 배포
|
||||
|
||||
[](https://zeabur.com/en-US/templates/ZKTBDH)
|
||||
|
||||
#### Railway 클라우드 배포
|
||||
|
||||
[](https://railway.app/template/yRrAyL?referralCode=vogKPF)
|
||||
|
||||
#### 기타 배포 방법
|
||||
**더 많은 옵션:** [Docker](https://docs.langbot.app/en/deploy/langbot/docker.html) · [수동 배포](https://docs.langbot.app/en/deploy/langbot/manual.html) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
|
||||
|
||||
릴리스 버전을 직접 사용하여 실행하려면 [수동 배포](https://docs.langbot.app/en/deploy/langbot/manual.html) 문서를 참조하세요.
|
||||
---
|
||||
|
||||
#### Kubernetes 배포
|
||||
|
||||
[Kubernetes 배포](./docker/README_K8S.md) 문서를 참조하세요.
|
||||
|
||||
## 😎 최신 정보 받기
|
||||
|
||||
리포지토리 오른쪽 상단의 Star 및 Watch 버튼을 클릭하여 최신 업데이트를 받으세요.
|
||||
|
||||
|
||||
|
||||
## ✨ 기능
|
||||
|
||||
<img width="500" src="https://docs.langbot.app/ui/bot-page-en-rounded.png" />
|
||||
|
||||
|
||||
- 💬 LLM / Agent와 채팅: 여러 LLM을 지원하며 그룹 채팅 및 개인 채팅에 적응; 멀티 라운드 대화, 도구 호출, 멀티모달, 스트리밍 출력 기능을 지원합니다. 내장된 RAG(지식 베이스) 구현 및 [Dify](https://dify.ai)、[Coze](https://coze.com)、[n8n](https://n8n.io)、[Langflow](https://langflow.org)등의 LLMOps 플랫폼과 깊이 통합됩니다.
|
||||
- 🤖 다중 플랫폼 지원: 현재 QQ, QQ Channel, WeCom, 개인 WeChat, Lark, DingTalk, Discord, Telegram, KOOK, Slack, LINE 등을 지원합니다.
|
||||
- 🛠️ 높은 안정성, 풍부한 기능: 네이티브 액세스 제어, 속도 제한, 민감한 단어 필터링 등의 메커니즘; 사용하기 쉽고 여러 배포 방법을 지원합니다.
|
||||
- 🧩 플러그인 확장, 활발한 커뮤니티: 고안정성, 고보안 생산 수준의 플러그인 시스템; 이벤트 기반, 컴포넌트 확장 등의 플러그인 메커니즘을 지원; Anthropic [MCP 프로토콜](https://modelcontextprotocol.io/) 통합; 현재 수백 개의 플러그인이 있습니다.
|
||||
- 😻 웹 UI: 브라우저를 통해 LangBot 인스턴스 관리를 지원합니다. 구성 파일을 수동으로 작성할 필요가 없습니다.
|
||||
- 📊 생산 수준의 기능: 여러 파이프라인 구성을 지원하며 다양한 시나리오에 대해 다른 봇을 사용할 수 있습니다. 포괄적인 모니터링 및 예외 처리 기능을 갖추고 있습니다.
|
||||
|
||||
더 자세한 사양은 [문서](https://docs.langbot.app/en/insight/features.html)를 참조하세요.
|
||||
|
||||
또는 데모 환경을 방문하세요: https://demo.langbot.dev/
|
||||
- 로그인 정보: 이메일: `demo@langbot.app` 비밀번호: `langbot123456`
|
||||
- 참고: WebUI 데모 전용이므로 공개 환경에서는 민감한 정보를 입력하지 마세요.
|
||||
|
||||
### 메시징 플랫폼
|
||||
## 지원 플랫폼
|
||||
|
||||
| 플랫폼 | 상태 | 비고 |
|
||||
| --- | --- | --- |
|
||||
|--------|------|------|
|
||||
| Discord | ✅ | |
|
||||
| Telegram | ✅ | |
|
||||
| Slack | ✅ | |
|
||||
| LINE | ✅ | |
|
||||
| 개인 QQ | ✅ | |
|
||||
| QQ 공식 API | ✅ | |
|
||||
| WeCom | ✅ | |
|
||||
| WeComCS | ✅ | |
|
||||
| WeCom AI Bot | ✅ | |
|
||||
| 개인 WeChat | ✅ | |
|
||||
| KOOK | ✅ | |
|
||||
| QQ | ✅ | 개인 및 공식 API |
|
||||
| WeCom | ✅ | 기업 WeChat, 외부 CS, AI Bot |
|
||||
| WeChat | ✅ | 개인 및 공식 계정 |
|
||||
| Lark | ✅ | |
|
||||
| DingTalk | ✅ | |
|
||||
| KOOK | ✅ | |
|
||||
| Satori | ✅ | |
|
||||
|
||||
### LLMs
|
||||
---
|
||||
|
||||
| LLM | 상태 | 비고 |
|
||||
| --- | --- | --- |
|
||||
| [OpenAI](https://platform.openai.com/) | ✅ | 모든 OpenAI 인터페이스 형식 모델에 사용 가능 |
|
||||
| [DeepSeek](https://www.deepseek.com/) | ✅ | |
|
||||
| [Moonshot](https://www.moonshot.cn/) | ✅ | |
|
||||
| [Anthropic](https://www.anthropic.com/) | ✅ | |
|
||||
| [xAI](https://x.ai/) | ✅ | |
|
||||
| [Zhipu AI](https://open.bigmodel.cn/) | ✅ | |
|
||||
| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | ✅ | LLM 및 GPU 리소스 플랫폼 |
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | LLM 및 GPU 리소스 플랫폼 |
|
||||
| [接口 AI](https://jiekou.ai/) | ✅ | LLM 집계 플랫폼 |
|
||||
| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | ✅ | LLM 및 GPU 리소스 플랫폼 |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | ✅ | LLM 게이트웨이(MaaS) |
|
||||
| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | ✅ | |
|
||||
| [Dify](https://dify.ai) | ✅ | LLMOps 플랫폼 |
|
||||
| [Ollama](https://ollama.com/) | ✅ | 로컬 LLM 실행 플랫폼 |
|
||||
| [LMStudio](https://lmstudio.ai/) | ✅ | 로컬 LLM 실행 플랫폼 |
|
||||
| [GiteeAI](https://ai.gitee.com/) | ✅ | LLM 인터페이스 게이트웨이(MaaS) |
|
||||
| [SiliconFlow](https://siliconflow.cn/) | ✅ | LLM 게이트웨이(MaaS) |
|
||||
| [Aliyun Bailian](https://bailian.console.aliyun.com/) | ✅ | LLM 게이트웨이(MaaS), LLMOps 플랫폼 |
|
||||
| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | ✅ | LLM 게이트웨이(MaaS), LLMOps 플랫폼 |
|
||||
| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | ✅ | LLM 게이트웨이(MaaS) |
|
||||
| [MCP](https://modelcontextprotocol.io/) | ✅ | MCP 프로토콜을 통한 도구 액세스 지원 |
|
||||
## 지원 LLM 및 통합
|
||||
|
||||
## 🤝 커뮤니티 기여
|
||||
| 제공자 | 유형 | 상태 |
|
||||
|--------|------|------|
|
||||
| [OpenAI](https://platform.openai.com/) | LLM | ✅ |
|
||||
| [Anthropic](https://www.anthropic.com/) | LLM | ✅ |
|
||||
| [DeepSeek](https://www.deepseek.com/) | LLM | ✅ |
|
||||
| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | LLM | ✅ |
|
||||
| [xAI](https://x.ai/) | LLM | ✅ |
|
||||
| [Moonshot](https://www.moonshot.cn/) | LLM | ✅ |
|
||||
| [Zhipu AI](https://open.bigmodel.cn/) | LLM | ✅ |
|
||||
| [Ollama](https://ollama.com/) | 로컬 LLM | ✅ |
|
||||
| [LM Studio](https://lmstudio.ai/) | 로컬 LLM | ✅ |
|
||||
| [Dify](https://dify.ai) | LLMOps | ✅ |
|
||||
| [MCP](https://modelcontextprotocol.io/) | 프로토콜 | ✅ |
|
||||
| [SiliconFlow](https://siliconflow.cn/) | 게이트웨이 | ✅ |
|
||||
| [Aliyun Bailian](https://bailian.console.aliyun.com/) | 게이트웨이 | ✅ |
|
||||
| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | 게이트웨이 | ✅ |
|
||||
| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | 게이트웨이 | ✅ |
|
||||
| [GiteeAI](https://ai.gitee.com/) | 게이트웨이 | ✅ |
|
||||
| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | GPU 플랫폼 | ✅ |
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | GPU 플랫폼 | ✅ |
|
||||
| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | GPU 플랫폼 | ✅ |
|
||||
| [接口 AI](https://jiekou.ai/) | 게이트웨이 | ✅ |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | 게이트웨이 | ✅ |
|
||||
|
||||
다음 [코드 기여자](https://github.com/langbot-app/LangBot/graphs/contributors) 및 커뮤니티의 다른 구성원들의 LangBot 기여에 감사드립니다:
|
||||
[→ 모든 통합 보기](https://docs.langbot.app/en/insight/features.html)
|
||||
|
||||
---
|
||||
|
||||
## 왜 LangBot인가?
|
||||
|
||||
| 사용 사례 | LangBot 활용 방법 |
|
||||
|-----------|-------------------|
|
||||
| **고객 지원** | 지식 베이스를 활용하여 질문에 답변하는 AI 에이전트를 Slack/Discord/Telegram에 배포 |
|
||||
| **내부 도구** | n8n/Dify 워크플로우를 WeCom/DingTalk에 연결하여 비즈니스 프로세스 자동화 |
|
||||
| **커뮤니티 관리** | AI 기반 콘텐츠 필터링 및 상호작용으로 QQ/Discord 그룹 관리 |
|
||||
| **멀티 플랫폼** | 하나의 봇으로 모든 플랫폼 지원. 단일 대시보드에서 관리 |
|
||||
|
||||
---
|
||||
|
||||
## 라이브 데모
|
||||
|
||||
**지금 체험:** https://demo.langbot.dev/
|
||||
- 이메일: `demo@langbot.app`
|
||||
- 비밀번호: `langbot123456`
|
||||
|
||||
*참고: 공개 데모 환경입니다. 민감한 정보를 입력하지 마세요.*
|
||||
|
||||
---
|
||||
|
||||
## 커뮤니티
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
|
||||
- [Discord 커뮤니티](https://discord.gg/wdNEHETs87)
|
||||
|
||||
---
|
||||
|
||||
## Star 추이
|
||||
|
||||
[](https://star-history.com/#langbot-app/LangBot&Date)
|
||||
|
||||
---
|
||||
|
||||
## 기여자
|
||||
|
||||
LangBot을 더 나은 프로젝트로 만들어 주신 모든 [기여자](https://github.com/langbot-app/LangBot/graphs/contributors)분들께 감사드립니다:
|
||||
|
||||
<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
|
||||
<img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
|
||||
|
||||
197
README_RU.md
197
README_RU.md
@@ -1,25 +1,27 @@
|
||||
<p align="center">
|
||||
<a href="https://langbot.app">
|
||||
<img width="130" src="https://docs.langbot.app/langbot-logo.png" alt="LangBot"/>
|
||||
<img width="130" src="res/logo-blue.png" alt="LangBot"/>
|
||||
</a>
|
||||
|
||||
<div align="center">
|
||||
|
||||
<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production-grade IM bot made easy. | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
|
||||
|
||||
<h3>Быстро создавайте, отлаживайте и развертывайте IM-ботов с LangBot.</h3>
|
||||
<h3>Платформа производственного уровня для создания агентных IM-ботов.</h3>
|
||||
<h4>Быстро создавайте, отлаживайте и развертывайте ИИ-ботов в Slack, Discord, Telegram, WeChat и других платформах.</h4>
|
||||
|
||||
[English](README_EN.md) / [简体中文](README.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / Русский / [Tiếng Việt](README_VI.md)
|
||||
[English](README.md) / [简体中文](README_CN.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / Русский / [Tiếng Việt](README_VI.md)
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
[](https://deepwiki.com/langbot-app/LangBot)
|
||||
[](https://github.com/langbot-app/LangBot/releases/latest)
|
||||
<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
|
||||
[](https://github.com/langbot-app/LangBot/stargazers)
|
||||
|
||||
<a href="https://langbot.app">Главная</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/features.html">Характеристики</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/guide.html">Развертывание</a> ｜
|
||||
<a href="https://docs.langbot.app/en/tags/readme.html">Интеграция API</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/features.html">Возможности</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/guide.html">Документация</a> ｜
|
||||
<a href="https://docs.langbot.app/en/tags/readme.html">API</a> ｜
|
||||
<a href="https://space.langbot.app">Магазин плагинов</a> ｜
|
||||
<a href="https://langbot.featurebase.app/roadmap">Дорожная карта</a>
|
||||
|
||||
@@ -27,19 +29,36 @@
|
||||
|
||||
</p>
|
||||
|
||||
## 📦 Начало работы
|
||||
---
|
||||
|
||||
#### Быстрый старт
|
||||
## Что такое LangBot?
|
||||
|
||||
Используйте `uvx` для запуска одной командой (требуется установка [uv](https://docs.astral.sh/uv/getting-started/installation/)):
|
||||
LangBot — это **платформа с открытым исходным кодом производственного уровня** для создания ИИ-ботов в мессенджерах. Она связывает большие языковые модели (LLM) с любой чат-платформой, позволяя создавать интеллектуальных агентов, которые могут вести диалоги, выполнять задачи и интегрироваться с вашими существующими рабочими процессами.
|
||||
|
||||
### Ключевые возможности
|
||||
|
||||
- **ИИ-диалоги и агенты** — Многораундовые диалоги, вызов инструментов, мультимодальная поддержка, потоковый вывод. Встроенная реализация RAG (база знаний) с глубокой интеграцией в [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io), [Langflow](https://langflow.org).
|
||||
- **Универсальная поддержка IM-платформ** — Единая кодовая база для Discord, Telegram, Slack, LINE, QQ, WeChat, WeCom, Lark, DingTalk, KOOK.
|
||||
- **Готовность к продакшену** — Контроль доступа, ограничение скорости, фильтрация чувствительных слов, комплексный мониторинг и обработка исключений. Проверено в корпоративной среде.
|
||||
- **Экосистема плагинов** — Сотни плагинов, событийно-ориентированная архитектура, расширения компонентов и поддержка [протокола MCP](https://modelcontextprotocol.io/).
|
||||
- **Веб-панель управления** — Настраивайте, управляйте и мониторьте ваших ботов через интуитивный браузерный интерфейс. Ручное редактирование YAML не требуется.
|
||||
- **Мультиконвейерная архитектура** — Разные боты для разных сценариев с комплексным мониторингом и обработкой исключений.
|
||||
|
||||
[→ Подробнее обо всех возможностях](https://docs.langbot.app/en/insight/features.html)
|
||||
|
||||
---
|
||||
|
||||
## Быстрый старт
|
||||
|
||||
### Запуск одной командой
|
||||
|
||||
```bash
|
||||
uvx langbot
|
||||
```
|
||||
|
||||
Посетите http://localhost:5300, чтобы начать использование.
|
||||
> Требуется [uv](https://docs.astral.sh/uv/getting-started/installation/). Откройте http://localhost:5300 — готово.
|
||||
|
||||
#### Развертывание с Docker Compose
|
||||
### Docker Compose
|
||||
|
||||
```bash
|
||||
git clone https://github.com/langbot-app/LangBot
|
||||
@@ -47,103 +66,101 @@ cd LangBot/docker
|
||||
docker compose up -d
|
||||
```
|
||||
|
||||
Посетите http://localhost:5300, чтобы начать использование.
|
||||
|
||||
Подробная документация [Развертывание Docker](https://docs.langbot.app/en/deploy/langbot/docker.html).
|
||||
|
||||
#### Развертывание одним кликом на BTPanel
|
||||
|
||||
LangBot добавлен в BTPanel. Если у вас установлен BTPanel, вы можете использовать [документацию](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) для его использования.
|
||||
|
||||
#### Облачное развертывание Zeabur
|
||||
|
||||
Шаблон Zeabur, предоставленный сообществом.
|
||||
### Облачное развертывание одним кликом
|
||||
|
||||
[](https://zeabur.com/en-US/templates/ZKTBDH)
|
||||
|
||||
#### Облачное развертывание Railway
|
||||
|
||||
[](https://railway.app/template/yRrAyL?referralCode=vogKPF)
|
||||
|
||||
#### Другие методы развертывания
|
||||
**Другие варианты:** [Docker](https://docs.langbot.app/en/deploy/langbot/docker.html) · [Ручная установка](https://docs.langbot.app/en/deploy/langbot/manual.html) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
|
||||
|
||||
Используйте выпущенную версию напрямую для запуска, см. документацию [Ручное развертывание](https://docs.langbot.app/en/deploy/langbot/manual.html).
|
||||
---
|
||||
|
||||
#### Развертывание Kubernetes
|
||||
|
||||
См. документацию [Развертывание Kubernetes](./docker/README_K8S.md).
|
||||
|
||||
## 😎 Оставайтесь в курсе
|
||||
|
||||
Нажмите кнопки Star и Watch в правом верхнем углу репозитория, чтобы получать последние обновления.
|
||||
|
||||
|
||||
|
||||
## ✨ Функции
|
||||
|
||||
<img width="500" src="https://docs.langbot.app/ui/bot-page-en-rounded.png" />
|
||||
|
||||
|
||||
- 💬 Чат с LLM / Agent: Поддержка нескольких LLM, адаптация к групповым и личным чатам; Поддержка многораундовых разговоров, вызовов инструментов, мультимодальных возможностей и потоковой передачи. Встроенная реализация RAG (база знаний) и глубокая интеграция с [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io), [Langflow](https://langflow.org) и др. LLMOps платформами.
|
||||
- 🤖 Многоплатформенная поддержка: В настоящее время поддерживает QQ, QQ Channel, WeCom, личный WeChat, Lark, DingTalk, Discord, Telegram, KOOK, Slack, LINE и т.д.
|
||||
- 🛠️ Высокая стабильность, богатство функций: Нативный контроль доступа, ограничение скорости, фильтрация чувствительных слов и т.д.; Простота в использовании, поддержка нескольких методов развертывания.
|
||||
- 🧩 Расширение плагинов, активное сообщество: Высокая стабильность, высокая безопасность уровня производства; Поддержка механизмов плагинов, управляемых событиями, расширения компонентов и т.д.; Интеграция протокола [MCP](https://modelcontextprotocol.io/) от Anthropic; В настоящее время сотни плагинов.
|
||||
- 😻 Веб-интерфейс: Поддержка управления экземплярами LangBot через браузер. Нет необходимости вручную писать конфигурационные файлы.
|
||||
- 📊 Функции уровня производства: Поддержка нескольких конфигураций конвейера, разные боты для разных сценариев. Имеет комплексные возможности мониторинга и обработки исключений.
|
||||
|
||||
Для более подробных спецификаций обратитесь к [документации](https://docs.langbot.app/en/insight/features.html).
|
||||
|
||||
Или посетите демонстрационную среду: https://demo.langbot.dev/
|
||||
- Информация для входа: Email: `demo@langbot.app` Пароль: `langbot123456`
|
||||
- Примечание: Только для демонстрации WebUI, пожалуйста, не вводите конфиденциальную информацию в общедоступной среде.
|
||||
|
||||
### Платформы обмена сообщениями
|
||||
## Поддерживаемые платформы
|
||||
|
||||
| Платформа | Статус | Примечания |
|
||||
| --- | --- | --- |
|
||||
|-----------|--------|------------|
|
||||
| Discord | ✅ | |
|
||||
| Telegram | ✅ | |
|
||||
| Slack | ✅ | |
|
||||
| LINE | ✅ | |
|
||||
| Личный QQ | ✅ | |
|
||||
| Официальный API QQ | ✅ | |
|
||||
| WeCom | ✅ | |
|
||||
| WeComCS | ✅ | |
|
||||
| WeCom AI Bot | ✅ | |
|
||||
| Личный WeChat | ✅ | |
|
||||
| KOOK | ✅ | |
|
||||
| QQ | ✅ | Личный и официальный API |
|
||||
| WeCom | ✅ | Корпоративный WeChat, внешний CS, AI-бот |
|
||||
| WeChat | ✅ | Личный и официальный аккаунт |
|
||||
| Lark | ✅ | |
|
||||
| DingTalk | ✅ | |
|
||||
| KOOK | ✅ | |
|
||||
| Satori | ✅ | |
|
||||
|
||||
### LLMs
|
||||
---
|
||||
|
||||
| LLM | Статус | Примечания |
|
||||
| --- | --- | --- |
|
||||
| [OpenAI](https://platform.openai.com/) | ✅ | Доступна для любой модели формата интерфейса OpenAI |
|
||||
| [DeepSeek](https://www.deepseek.com/) | ✅ | |
|
||||
| [Moonshot](https://www.moonshot.cn/) | ✅ | |
|
||||
| [Anthropic](https://www.anthropic.com/) | ✅ | |
|
||||
| [xAI](https://x.ai/) | ✅ | |
|
||||
| [Zhipu AI](https://open.bigmodel.cn/) | ✅ | |
|
||||
| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | ✅ | Платформа ресурсов LLM и GPU |
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | Платформа ресурсов LLM и GPU |
|
||||
| [接口 AI](https://jiekou.ai/) | ✅ | Платформа агрегации LLM |
|
||||
| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | ✅ | Платформа ресурсов LLM и GPU |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | ✅ | Шлюз LLM (MaaS) |
|
||||
| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | ✅ | |
|
||||
| [Dify](https://dify.ai) | ✅ | Платформа LLMOps |
|
||||
| [Ollama](https://ollama.com/) | ✅ | Платформа локального запуска LLM |
|
||||
| [LMStudio](https://lmstudio.ai/) | ✅ | Платформа локального запуска LLM |
|
||||
| [GiteeAI](https://ai.gitee.com/) | ✅ | Шлюз интерфейса LLM (MaaS) |
|
||||
| [SiliconFlow](https://siliconflow.cn/) | ✅ | Шлюз LLM (MaaS) |
|
||||
| [Aliyun Bailian](https://bailian.console.aliyun.com/) | ✅ | Шлюз LLM (MaaS), платформа LLMOps |
|
||||
| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | ✅ | Шлюз LLM (MaaS), платформа LLMOps |
|
||||
| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | ✅ | Шлюз LLM (MaaS) |
|
||||
| [MCP](https://modelcontextprotocol.io/) | ✅ | Поддержка доступа к инструментам через протокол MCP |
|
||||
## Поддерживаемые LLM и интеграции
|
||||
|
||||
## 🤝 Вклад сообщества
|
||||
| Провайдер | Тип | Статус |
|
||||
|-----------|-----|--------|
|
||||
| [OpenAI](https://platform.openai.com/) | LLM | ✅ |
|
||||
| [Anthropic](https://www.anthropic.com/) | LLM | ✅ |
|
||||
| [DeepSeek](https://www.deepseek.com/) | LLM | ✅ |
|
||||
| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | LLM | ✅ |
|
||||
| [xAI](https://x.ai/) | LLM | ✅ |
|
||||
| [Moonshot](https://www.moonshot.cn/) | LLM | ✅ |
|
||||
| [Zhipu AI](https://open.bigmodel.cn/) | LLM | ✅ |
|
||||
| [Ollama](https://ollama.com/) | Локальный LLM | ✅ |
|
||||
| [LM Studio](https://lmstudio.ai/) | Локальный LLM | ✅ |
|
||||
| [Dify](https://dify.ai) | LLMOps | ✅ |
|
||||
| [MCP](https://modelcontextprotocol.io/) | Протокол | ✅ |
|
||||
| [SiliconFlow](https://siliconflow.cn/) | Шлюз | ✅ |
|
||||
| [Aliyun Bailian](https://bailian.console.aliyun.com/) | Шлюз | ✅ |
|
||||
| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | Шлюз | ✅ |
|
||||
| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | Шлюз | ✅ |
|
||||
| [GiteeAI](https://ai.gitee.com/) | Шлюз | ✅ |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | Шлюз | ✅ |
|
||||
| [接口 AI](https://jiekou.ai/) | Шлюз | ✅ |
|
||||
| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | Платформа GPU | ✅ |
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | Платформа GPU | ✅ |
|
||||
| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | Платформа GPU | ✅ |
|
||||
|
||||
Спасибо следующим [контрибьюторам кода](https://github.com/langbot-app/LangBot/graphs/contributors) и другим членам сообщества за их вклад в LangBot:
|
||||
[→ Смотреть все интеграции](https://docs.langbot.app/en/insight/features.html)
|
||||
|
||||
---
|
||||
|
||||
## Почему LangBot?
|
||||
|
||||
| Сценарий использования | Как помогает LangBot |
|
||||
|------------------------|----------------------|
|
||||
| **Поддержка клиентов** | Разверните ИИ-агентов в Slack/Discord/Telegram, которые отвечают на вопросы, используя вашу базу знаний |
|
||||
| **Внутренние инструменты** | Подключите рабочие процессы n8n/Dify к WeCom/DingTalk для автоматизации бизнес-процессов |
|
||||
| **Управление сообществом** | Модерируйте группы QQ/Discord с помощью ИИ-фильтрации контента и взаимодействия |
|
||||
| **Мультиплатформенное присутствие** | Один бот — все платформы. Управляйте из единой панели |
|
||||
|
||||
---
|
||||
|
||||
## Демо
|
||||
|
||||
**Попробуйте прямо сейчас:** https://demo.langbot.dev/
|
||||
- Email: `demo@langbot.app`
|
||||
- Пароль: `langbot123456`
|
||||
|
||||
*Примечание: Публичная демо-среда. Не вводите конфиденциальную информацию.*
|
||||
|
||||
---
|
||||
|
||||
## Сообщество
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
|
||||
- [Сообщество Discord](https://discord.gg/wdNEHETs87)
|
||||
|
||||
---
|
||||
|
||||
## История Stars
|
||||
|
||||
[](https://star-history.com/#langbot-app/LangBot&Date)
|
||||
|
||||
---
|
||||
|
||||
## Участники
|
||||
|
||||
Спасибо всем [участникам](https://github.com/langbot-app/LangBot/graphs/contributors), которые помогли сделать LangBot лучше:
|
||||
|
||||
<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
|
||||
<img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
|
||||
|
||||
217
README_TW.md
217
README_TW.md
@@ -1,25 +1,29 @@
|
||||
<p align="center">
|
||||
<a href="https://langbot.app">
|
||||
<img width="130" src="https://docs.langbot.app/langbot-logo.png" alt="LangBot"/>
|
||||
<img width="130" src="res/logo-blue.png" alt="LangBot"/>
|
||||
</a>
|
||||
|
||||
<div align="center"><a href="https://hellogithub.com/repository/langbot-app/LangBot" target="_blank"><img src="https://abroad.hellogithub.com/v1/widgets/recommend.svg?rid=5ce8ae2aa4f74316bf393b57b952433c&claim_uid=gtmc6YWjMZkT21R" alt="Featured｜HelloGitHub" style="width: 250px; height: 54px;" width="250" height="54" /></a>
|
||||
<div align="center">
|
||||
|
||||
<h3>使用 LangBot 快速建構、除錯和部署 IM 機器人。</h3>
|
||||
<a href="https://hellogithub.com/repository/langbot-app/LangBot" target="_blank"><img src="https://abroad.hellogithub.com/v1/widgets/recommend.svg?rid=5ce8ae2aa4f74316bf393b57b952433c&claim_uid=gtmc6YWjMZkT21R" alt="Featured｜HelloGitHub" style="width: 250px; height: 54px;" width="250" height="54" /></a>
|
||||
|
||||
[English](README_EN.md) / [简体中文](README.md) / 繁體中文 / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
|
||||
<h3>生產級 AI 即時通訊機器人開發平台。</h3>
|
||||
<h4>快速建構、除錯和部署 AI 機器人到微信、QQ、飛書、Slack、Discord、Telegram 等平台。</h4>
|
||||
|
||||
[English](README.md) / [简体中文](README_CN.md) / 繁體中文 / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
[](https://qm.qq.com/q/JLi38whHum)
|
||||
[](https://deepwiki.com/langbot-app/LangBot)
|
||||
[](https://github.com/langbot-app/LangBot/releases/latest)
|
||||
<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
|
||||
[](https://github.com/langbot-app/LangBot/stargazers)
|
||||
[](https://gitcode.com/RockChinQ/LangBot)
|
||||
|
||||
<a href="https://langbot.app">主頁</a> ｜
|
||||
<a href="https://docs.langbot.app/zh/insight/features.html">規格特性</a> ｜
|
||||
<a href="https://docs.langbot.app/zh/insight/guide.html">部署文件</a> ｜
|
||||
<a href="https://docs.langbot.app/zh/tags/readme.html">API 整合</a> ｜
|
||||
<a href="https://langbot.app">官網</a> ｜
|
||||
<a href="https://docs.langbot.app/zh/insight/features.html">特性</a> ｜
|
||||
<a href="https://docs.langbot.app/zh/insight/guide.html">文件</a> ｜
|
||||
<a href="https://docs.langbot.app/zh/tags/readme.html">API</a> ｜
|
||||
<a href="https://space.langbot.app">外掛市場</a> ｜
|
||||
<a href="https://langbot.featurebase.app/roadmap">路線圖</a>
|
||||
|
||||
@@ -27,19 +31,36 @@
|
||||
|
||||
</p>
|
||||
|
||||
## 📦 開始使用
|
||||
---
|
||||
|
||||
#### 快速部署
|
||||
## 什麼是 LangBot？
|
||||
|
||||
使用 `uvx` 一鍵啟動（需要先安裝 [uv](https://docs.astral.sh/uv/getting-started/installation/) ）：
|
||||
LangBot 是一個**開源的生產級平台**，用於建構 AI 驅動的即時通訊機器人。它將大語言模型（LLM）連接到各種聊天平台，幫助你創建能夠對話、執行任務、並整合到現有工作流程中的智能 Agent。
|
||||
|
||||
### 核心能力
|
||||
|
||||
- **AI 對話與 Agent** — 多輪對話、工具調用、多模態、流式輸出。自帶 RAG（知識庫），深度整合 [Dify](https://dify.ai)、[Coze](https://coze.com)、[n8n](https://n8n.io)、[Langflow](https://langflow.org) 等 LLMOps 平台。
|
||||
- **全平台支援** — 一套程式碼，覆蓋 QQ、微信、企業微信、飛書、釘釘、Discord、Telegram、Slack、LINE、KOOK 等平台。
|
||||
- **生產就緒** — 存取控制、限速、敏感詞過濾、全面監控與異常處理，已被多家企業採用。
|
||||
- **外掛生態** — 數百個外掛，事件驅動架構，組件擴展，適配 [MCP 協議](https://modelcontextprotocol.io/)。
|
||||
- **Web 管理面板** — 透過瀏覽器直觀地配置、管理和監控機器人，無需手動編輯設定檔。
|
||||
- **多流水線架構** — 不同機器人用於不同場景，具備全面的監控和異常處理能力。
|
||||
|
||||
[→ 了解更多功能特性](https://docs.langbot.app/zh/insight/features.html)
|
||||
|
||||
---
|
||||
|
||||
## 快速開始
|
||||
|
||||
### 一鍵啟動
|
||||
|
||||
```bash
|
||||
uvx langbot
|
||||
```
|
||||
|
||||
訪問 http://localhost:5300 即可開始使用。
|
||||
> 需要安裝 [uv](https://docs.astral.sh/uv/getting-started/installation/)。訪問 http://localhost:5300 即可使用。
|
||||
|
||||
#### Docker Compose 部署
|
||||
### Docker Compose
|
||||
|
||||
```bash
|
||||
git clone https://github.com/langbot-app/LangBot
|
||||
@@ -47,104 +68,63 @@ cd LangBot/docker
|
||||
docker compose up -d
|
||||
```
|
||||
|
||||
訪問 http://localhost:5300 即可開始使用。
|
||||
|
||||
詳細文件[Docker 部署](https://docs.langbot.app/zh/deploy/langbot/docker.html)。
|
||||
|
||||
#### 寶塔面板部署
|
||||
|
||||
已上架寶塔面板，若您已安裝寶塔面板，可以根據[文件](https://docs.langbot.app/zh/deploy/langbot/one-click/bt.html)使用。
|
||||
|
||||
#### Zeabur 雲端部署
|
||||
|
||||
社群貢獻的 Zeabur 模板。
|
||||
### 一鍵雲端部署
|
||||
|
||||
[](https://zeabur.com/zh-CN/templates/ZKTBDH)
|
||||
|
||||
#### Railway 雲端部署
|
||||
|
||||
[](https://railway.app/template/yRrAyL?referralCode=vogKPF)
|
||||
|
||||
#### 手動部署
|
||||
**更多方式：** [Docker](https://docs.langbot.app/zh/deploy/langbot/docker.html) · [手動部署](https://docs.langbot.app/zh/deploy/langbot/manual.html) · [寶塔面板](https://docs.langbot.app/zh/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
|
||||
|
||||
直接使用發行版運行，查看文件[手動部署](https://docs.langbot.app/zh/deploy/langbot/manual.html)。
|
||||
---
|
||||
|
||||
#### Kubernetes 部署
|
||||
|
||||
參考 [Kubernetes 部署](./docker/README_K8S.md) 文件。
|
||||
|
||||
## 😎 保持更新
|
||||
|
||||
點擊倉庫右上角 Star 和 Watch 按鈕，獲取最新動態。
|
||||
|
||||
|
||||
|
||||
## ✨ 特性
|
||||
|
||||
<img width="500" src="https://docs.langbot.app/ui/bot-page-en-rounded.png" />
|
||||
|
||||
|
||||
- 💬 大模型對話、Agent：支援多種大模型，適配群聊和私聊；具有多輪對話、工具調用、多模態、流式輸出能力，自帶 RAG（知識庫）實現，並深度適配 [Dify](https://dify.ai)、[Coze](https://coze.com)、[n8n](https://n8n.io)、[Langflow](https://langflow.org)等 LLMOps 平台。
|
||||
- 🤖 多平台支援：目前支援 QQ、QQ頻道、企業微信、個人微信、飛書、Discord、Telegram、KOOK、Slack、LINE 等平台。
|
||||
- 🛠️ 高穩定性、功能完備：原生支援訪問控制、限速、敏感詞過濾等機制；配置簡單，支援多種部署方式。
|
||||
- 🧩 外掛擴展、活躍社群：高穩定性、高安全性的生產級外掛系統；支援事件驅動、組件擴展等外掛機制；適配 Anthropic [MCP 協議](https://modelcontextprotocol.io/)；目前已有數百個外掛。
|
||||
- 😻 Web 管理面板：提供先進的 WebUI 管理面板，用最直觀的方式配置、管理、監控機器人。
|
||||
- 📊 生產級特性：支援多流水線配置，不同機器人用於不同應用場景。具有全面的監控和異常處理能力。
|
||||
|
||||
詳細規格特性請訪問[文件](https://docs.langbot.app/zh/insight/features.html)。
|
||||
|
||||
或訪問 demo 環境：https://demo.langbot.dev/
|
||||
- 登入資訊：郵箱：`demo@langbot.app` 密碼：`langbot123456`
|
||||
- 注意：僅展示 WebUI 效果，公開環境，請不要在其中填入您的任何敏感資訊。
|
||||
|
||||
### 訊息平台
|
||||
## 支援的平台
|
||||
|
||||
| 平台 | 狀態 | 備註 |
|
||||
| --- | --- | --- |
|
||||
|------|------|------|
|
||||
| QQ | ✅ | 個人號、官方機器人（頻道、私聊、群聊） |
|
||||
| 微信 | ✅ | 個人微信、微信公眾號 |
|
||||
| 企業微信 | ✅ | 應用訊息、對外客服、智能機器人 |
|
||||
| 飛書 | ✅ | |
|
||||
| 釘釘 | ✅ | |
|
||||
| Discord | ✅ | |
|
||||
| Telegram | ✅ | |
|
||||
| Slack | ✅ | |
|
||||
| LINE | ✅ | |
|
||||
| QQ 個人號 | ✅ | QQ 個人號私聊、群聊 |
|
||||
| QQ 官方機器人 | ✅ | QQ 官方機器人，支援頻道、私聊、群聊 |
|
||||
| 微信 | ✅ | |
|
||||
| 企微對外客服 | ✅ | |
|
||||
| 企微智能機器人 | ✅ | |
|
||||
| 微信公眾號 | ✅ | |
|
||||
| KOOK | ✅ | |
|
||||
| Lark | ✅ | |
|
||||
| DingTalk | ✅ | |
|
||||
| Satori | ✅ | |
|
||||
|
||||
### 大模型能力
|
||||
---
|
||||
|
||||
| 模型 | 狀態 | 備註 |
|
||||
| --- | --- | --- |
|
||||
| [OpenAI](https://platform.openai.com/) | ✅ | 可接入任何 OpenAI 介面格式模型 |
|
||||
| [DeepSeek](https://www.deepseek.com/) | ✅ | |
|
||||
| [Moonshot](https://www.moonshot.cn/) | ✅ | |
|
||||
| [Anthropic](https://www.anthropic.com/) | ✅ | |
|
||||
| [xAI](https://x.ai/) | ✅ | |
|
||||
| [智譜AI](https://open.bigmodel.cn/) | ✅ | |
|
||||
| [勝算雲](https://www.shengsuanyun.com/?from=CH_KYIPP758) | ✅ | 大模型和 GPU 資源平台 |
|
||||
| [優雲智算](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | ✅ | 大模型和 GPU 資源平台 |
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | 大模型和 GPU 資源平台 |
|
||||
| [接口 AI](https://jiekou.ai/) | ✅ | 大模型聚合平台，專注全球大模型接入 |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | ✅ | 大模型聚合平台 |
|
||||
| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | ✅ | |
|
||||
| [Dify](https://dify.ai) | ✅ | LLMOps 平台 |
|
||||
| [Ollama](https://ollama.com/) | ✅ | 本地大模型運行平台 |
|
||||
| [LMStudio](https://lmstudio.ai/) | ✅ | 本地大模型運行平台 |
|
||||
| [GiteeAI](https://ai.gitee.com/) | ✅ | 大模型介面聚合平台 |
|
||||
| [SiliconFlow](https://siliconflow.cn/) | ✅ | 大模型聚合平台 |
|
||||
| [阿里雲百煉](https://bailian.console.aliyun.com/) | ✅ | 大模型聚合平台, LLMOps 平台 |
|
||||
| [火山方舟](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | ✅ | 大模型聚合平台, LLMOps 平台 |
|
||||
| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | ✅ | 大模型聚合平台 |
|
||||
| [MCP](https://modelcontextprotocol.io/) | ✅ | 支援通過 MCP 協議獲取工具 |
|
||||
## 支援的大模型與整合
|
||||
|
||||
### TTS
|
||||
| 提供商 | 類型 | 狀態 |
|
||||
|--------|------|------|
|
||||
| [OpenAI](https://platform.openai.com/) | LLM | ✅ |
|
||||
| [Anthropic](https://www.anthropic.com/) | LLM | ✅ |
|
||||
| [DeepSeek](https://www.deepseek.com/) | LLM | ✅ |
|
||||
| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | LLM | ✅ |
|
||||
| [xAI](https://x.ai/) | LLM | ✅ |
|
||||
| [Moonshot](https://www.moonshot.cn/) | LLM | ✅ |
|
||||
| [智譜AI](https://open.bigmodel.cn/) | LLM | ✅ |
|
||||
| [Ollama](https://ollama.com/) | 本地 LLM | ✅ |
|
||||
| [LM Studio](https://lmstudio.ai/) | 本地 LLM | ✅ |
|
||||
| [Dify](https://dify.ai) | LLMOps | ✅ |
|
||||
| [MCP](https://modelcontextprotocol.io/) | 協議 | ✅ |
|
||||
| [SiliconFlow](https://siliconflow.cn/) | 聚合平台 | ✅ |
|
||||
| [阿里雲百煉](https://bailian.console.aliyun.com/) | 聚合平台 | ✅ |
|
||||
| [火山方舟](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | 聚合平台 | ✅ |
|
||||
| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | 聚合平台 | ✅ |
|
||||
| [GiteeAI](https://ai.gitee.com/) | 聚合平台 | ✅ |
|
||||
| [勝算雲](https://www.shengsuanyun.com/?from=CH_KYIPP758) | GPU 平台 | ✅ |
|
||||
| [優雲智算](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | GPU 平台 | ✅ |
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | GPU 平台 | ✅ |
|
||||
| [接口 AI](https://jiekou.ai/) | 聚合平台 | ✅ |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | 聚合平台 | ✅ |
|
||||
|
||||
### TTS（語音合成）
|
||||
|
||||
| 平台/模型 | 備註 |
|
||||
| --- | --- |
|
||||
|-----------|------|
|
||||
| [FishAudio](https://fish.audio/zh-CN/discovery/) | [外掛](https://github.com/the-lazy-me/NewChatVoice) |
|
||||
| [海豚 AI](https://www.ttson.cn/?source=thelazy) | [外掛](https://github.com/the-lazy-me/NewChatVoice) |
|
||||
| [AzureTTS](https://portal.azure.com/) | [外掛](https://github.com/Ingnaryk/LangBot_AzureTTS) |
|
||||
@@ -152,13 +132,54 @@ docker compose up -d
|
||||
### 文生圖
|
||||
|
||||
| 平台/模型 | 備註 |
|
||||
| --- | --- |
|
||||
| 阿里雲百煉 | [外掛](https://github.com/Thetail001/LangBot_BailianTextToImagePlugin)
|
||||
|-----------|------|
|
||||
| 阿里雲百煉 | [外掛](https://github.com/Thetail001/LangBot_BailianTextToImagePlugin) |
|
||||
|
||||
## 😘 社群貢獻
|
||||
[→ 查看完整整合列表](https://docs.langbot.app/zh/insight/features.html)
|
||||
|
||||
感謝以下[程式碼貢獻者](https://github.com/langbot-app/LangBot/graphs/contributors)和社群裡其他成員對 LangBot 的貢獻：
|
||||
---
|
||||
|
||||
## 為什麼選擇 LangBot？
|
||||
|
||||
| 使用場景 | LangBot 如何幫助 |
|
||||
|----------|------------------|
|
||||
| **客戶服務** | 將 AI Agent 部署到微信/企微/釘釘/飛書，基於知識庫自動回答使用者問題 |
|
||||
| **內部工具** | 將 n8n/Dify 工作流接入企微/釘釘，實現業務流程自動化 |
|
||||
| **社群運營** | 在 QQ/Discord 群中使用 AI 驅動的內容審核與智能互動 |
|
||||
| **多平台觸達** | 一個機器人，覆蓋所有平台。透過統一面板集中管理 |
|
||||
|
||||
---
|
||||
|
||||
## 線上演示
|
||||
|
||||
**立即體驗：** https://demo.langbot.dev/
|
||||
- 信箱：`demo@langbot.app`
|
||||
- 密碼：`langbot123456`
|
||||
|
||||
*注意：公開演示環境，請不要在其中填入任何敏感資訊。*
|
||||
|
||||
---
|
||||
|
||||
## 社群
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
[](https://qm.qq.com/q/JLi38whHum)
|
||||
|
||||
- [Discord 社群](https://discord.gg/wdNEHETs87)
|
||||
- [QQ 社群群](https://qm.qq.com/q/JLi38whHum)
|
||||
|
||||
---
|
||||
|
||||
## Star 趨勢
|
||||
|
||||
[](https://star-history.com/#langbot-app/LangBot&Date)
|
||||
|
||||
---
|
||||
|
||||
## 貢獻者
|
||||
|
||||
感謝所有[貢獻者](https://github.com/langbot-app/LangBot/graphs/contributors)對 LangBot 的幫助：
|
||||
|
||||
<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
|
||||
<img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
|
||||
</a>
|
||||
</a>
|
||||
|
||||
195
README_VI.md
195
README_VI.md
@@ -1,25 +1,27 @@
|
||||
<p align="center">
|
||||
<a href="https://langbot.app">
|
||||
<img width="130" src="https://docs.langbot.app/langbot-logo.png" alt="LangBot"/>
|
||||
<img width="130" src="res/logo-blue.png" alt="LangBot"/>
|
||||
</a>
|
||||
|
||||
<div align="center">
|
||||
|
||||
<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production-grade IM bot made easy. | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
|
||||
|
||||
<h3>Xây dựng, gỡ lỗi và triển khai bot IM nhanh chóng với LangBot.</h3>
|
||||
<h3>Nền tảng cấp sản xuất để xây dựng bot IM với AI agent.</h3>
|
||||
<h4>Xây dựng, gỡ lỗi và triển khai bot AI nhanh chóng trên Slack, Discord, Telegram, WeChat và nhiều nền tảng khác.</h4>
|
||||
|
||||
[English](README_EN.md) / [简体中文](README.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / Tiếng Việt
|
||||
[English](README.md) / [简体中文](README_CN.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / Tiếng Việt
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
[](https://deepwiki.com/langbot-app/LangBot)
|
||||
[](https://github.com/langbot-app/LangBot/releases/latest)
|
||||
<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
|
||||
[](https://github.com/langbot-app/LangBot/stargazers)
|
||||
|
||||
<a href="https://langbot.app">Trang chủ</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/features.html">Tính năng</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/guide.html">Triển khai</a> ｜
|
||||
<a href="https://docs.langbot.app/en/tags/readme.html">Tích hợp API</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/guide.html">Tài liệu</a> ｜
|
||||
<a href="https://docs.langbot.app/en/tags/readme.html">API</a> ｜
|
||||
<a href="https://space.langbot.app">Chợ Plugin</a> ｜
|
||||
<a href="https://langbot.featurebase.app/roadmap">Lộ trình</a>
|
||||
|
||||
@@ -27,19 +29,36 @@
|
||||
|
||||
</p>
|
||||
|
||||
## 📦 Bắt đầu
|
||||
---
|
||||
|
||||
#### Khởi động Nhanh
|
||||
## LangBot là gì?
|
||||
|
||||
Sử dụng `uvx` để khởi động bằng một lệnh (cần cài đặt [uv](https://docs.astral.sh/uv/getting-started/installation/)):
|
||||
LangBot là một **nền tảng mã nguồn mở, cấp sản xuất** để xây dựng bot nhắn tin tức thời được hỗ trợ bởi AI. Nó kết nối các Mô hình Ngôn ngữ Lớn (LLM) với bất kỳ nền tảng chat nào, cho phép bạn tạo các agent thông minh có thể trò chuyện, thực hiện tác vụ và tích hợp với quy trình làm việc hiện có của bạn.
|
||||
|
||||
### Khả năng chính
|
||||
|
||||
- **Hội thoại AI & Agent** — Đối thoại nhiều lượt, gọi công cụ, hỗ trợ đa phương thức, đầu ra streaming. RAG (cơ sở kiến thức) tích hợp sẵn với tích hợp sâu vào [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io), [Langflow](https://langflow.org).
|
||||
- **Hỗ trợ đa nền tảng IM** — Một mã nguồn cho Discord, Telegram, Slack, LINE, QQ, WeChat, WeCom, Lark, DingTalk, KOOK.
|
||||
- **Sẵn sàng cho sản xuất** — Kiểm soát truy cập, giới hạn tốc độ, lọc từ nhạy cảm, giám sát toàn diện và xử lý ngoại lệ. Được doanh nghiệp tin dùng.
|
||||
- **Hệ sinh thái Plugin** — Hàng trăm plugin, kiến trúc hướng sự kiện, mở rộng thành phần, và hỗ trợ [giao thức MCP](https://modelcontextprotocol.io/).
|
||||
- **Bảng quản lý Web** — Cấu hình, quản lý và giám sát bot thông qua giao diện trình duyệt trực quan. Không cần chỉnh sửa YAML.
|
||||
- **Kiến trúc đa Pipeline** — Các bot khác nhau cho các kịch bản khác nhau, với giám sát toàn diện và xử lý ngoại lệ.
|
||||
|
||||
[→ Tìm hiểu thêm về tất cả tính năng](https://docs.langbot.app/en/insight/features.html)
|
||||
|
||||
---
|
||||
|
||||
## Bắt đầu nhanh
|
||||
|
||||
### Khởi chạy một dòng
|
||||
|
||||
```bash
|
||||
uvx langbot
|
||||
```
|
||||
|
||||
Truy cập http://localhost:5300 để bắt đầu sử dụng.
|
||||
> Yêu cầu [uv](https://docs.astral.sh/uv/getting-started/installation/). Truy cập http://localhost:5300 — xong.
|
||||
|
||||
#### Triển khai Docker Compose
|
||||
### Docker Compose
|
||||
|
||||
```bash
|
||||
git clone https://github.com/langbot-app/LangBot
|
||||
@@ -47,103 +66,101 @@ cd LangBot/docker
|
||||
docker compose up -d
|
||||
```
|
||||
|
||||
Truy cập http://localhost:5300 để bắt đầu sử dụng.
|
||||
|
||||
Tài liệu chi tiết [Triển khai Docker](https://docs.langbot.app/en/deploy/langbot/docker.html).
|
||||
|
||||
#### Triển khai Một cú nhấp chuột trên BTPanel
|
||||
|
||||
LangBot đã được liệt kê trên BTPanel. Nếu bạn đã cài đặt BTPanel, bạn có thể sử dụng [tài liệu](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) để sử dụng nó.
|
||||
|
||||
#### Triển khai Cloud Zeabur
|
||||
|
||||
Mẫu Zeabur được đóng góp bởi cộng đồng.
|
||||
### Triển khai đám mây một cú nhấp
|
||||
|
||||
[](https://zeabur.com/en-US/templates/ZKTBDH)
|
||||
|
||||
#### Triển khai Cloud Railway
|
||||
|
||||
[](https://railway.app/template/yRrAyL?referralCode=vogKPF)
|
||||
|
||||
#### Các Phương pháp Triển khai Khác
|
||||
**Thêm tùy chọn:** [Docker](https://docs.langbot.app/en/deploy/langbot/docker.html) · [Thủ công](https://docs.langbot.app/en/deploy/langbot/manual.html) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
|
||||
|
||||
Sử dụng trực tiếp phiên bản phát hành để chạy, xem tài liệu [Triển khai Thủ công](https://docs.langbot.app/en/deploy/langbot/manual.html).
|
||||
---
|
||||
|
||||
#### Triển khai Kubernetes
|
||||
|
||||
Tham khảo tài liệu [Triển khai Kubernetes](./docker/README_K8S.md).
|
||||
|
||||
## 😎 Cập nhật Mới nhất
|
||||
|
||||
Nhấp vào các nút Star và Watch ở góc trên bên phải của kho lưu trữ để nhận các bản cập nhật mới nhất.
|
||||
|
||||
|
||||
|
||||
## ✨ Tính năng
|
||||
|
||||
<img width="500" src="https://docs.langbot.app/ui/bot-page-en-rounded.png" />
|
||||
|
||||
|
||||
- 💬 Chat với LLM / Agent: Hỗ trợ nhiều LLM, thích ứng với chat nhóm và chat riêng tư; Hỗ trợ các cuộc trò chuyện nhiều vòng, gọi công cụ, khả năng đa phương thức và đầu ra streaming. Triển khai RAG (cơ sở kiến thức) tích hợp sẵn và tích hợp sâu với [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io), [Langflow](https://langflow.org) v.v. LLMOps platforms.
|
||||
- 🤖 Hỗ trợ Đa nền tảng: Hiện hỗ trợ QQ, QQ Channel, WeCom, WeChat cá nhân, Lark, DingTalk, Discord, Telegram, KOOK, Slack, LINE, v.v.
|
||||
- 🛠️ Độ ổn định Cao, Tính năng Phong phú: Kiểm soát truy cập gốc, giới hạn tốc độ, lọc từ nhạy cảm, v.v.; Dễ sử dụng, hỗ trợ nhiều phương pháp triển khai.
|
||||
- 🧩 Mở rộng Plugin, Cộng đồng Hoạt động: Hỗ trợ các cơ chế plugin hướng sự kiện, mở rộng thành phần, v.v.; Tích hợp giao thức [MCP](https://modelcontextprotocol.io/) của Anthropic; Hiện có hàng trăng plugin.
|
||||
- 😻 Giao diện Web: Hỗ trợ quản lý các phiên bản LangBot thông qua trình duyệt. Không cần viết tệp cấu hình thủ công.
|
||||
- 📊 Tính năng Cấp sản xuất: Hỗ trợ nhiều cấu hình pipeline, các bot khác nhau cho các kịch bản khác nhau. Có khả năng giám sát toàn diện và xử lý ngoại lệ.
|
||||
|
||||
Để biết thêm thông số kỹ thuật chi tiết, vui lòng tham khảo [tài liệu](https://docs.langbot.app/en/insight/features.html).
|
||||
|
||||
Hoặc truy cập môi trường demo: https://demo.langbot.dev/
|
||||
- Thông tin đăng nhập: Email: `demo@langbot.app` Mật khẩu: `langbot123456`
|
||||
- Lưu ý: Chỉ dành cho demo WebUI, vui lòng không nhập bất kỳ thông tin nhạy cảm nào trong môi trường công cộng.
|
||||
|
||||
### Nền tảng Nhắn tin
|
||||
## Nền tảng được hỗ trợ
|
||||
|
||||
| Nền tảng | Trạng thái | Ghi chú |
|
||||
| --- | --- | --- |
|
||||
|----------|--------|-------|
|
||||
| Discord | ✅ | |
|
||||
| Telegram | ✅ | |
|
||||
| Slack | ✅ | |
|
||||
| LINE | ✅ | |
|
||||
| QQ Cá nhân | ✅ | |
|
||||
| QQ API Chính thức | ✅ | |
|
||||
| WeCom | ✅ | |
|
||||
| WeComCS | ✅ | |
|
||||
| WeCom AI Bot | ✅ | |
|
||||
| WeChat Cá nhân | ✅ | |
|
||||
| KOOK | ✅ | |
|
||||
| QQ | ✅ | Cá nhân & API chính thức |
|
||||
| WeCom | ✅ | WeChat doanh nghiệp, CS bên ngoài, AI Bot |
|
||||
| WeChat | ✅ | Cá nhân & Tài khoản công khai |
|
||||
| Lark | ✅ | |
|
||||
| DingTalk | ✅ | |
|
||||
| KOOK | ✅ | |
|
||||
| Satori | ✅ | |
|
||||
|
||||
### LLMs
|
||||
---
|
||||
|
||||
| LLM | Trạng thái | Ghi chú |
|
||||
| --- | --- | --- |
|
||||
| [OpenAI](https://platform.openai.com/) | ✅ | Có sẵn cho bất kỳ mô hình định dạng giao diện OpenAI nào |
|
||||
| [DeepSeek](https://www.deepseek.com/) | ✅ | |
|
||||
| [Moonshot](https://www.moonshot.cn/) | ✅ | |
|
||||
| [Anthropic](https://www.anthropic.com/) | ✅ | |
|
||||
| [xAI](https://x.ai/) | ✅ | |
|
||||
| [Zhipu AI](https://open.bigmodel.cn/) | ✅ | |
|
||||
| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | ✅ | Nền tảng tài nguyên LLM và GPU |
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | Nền tảng tài nguyên LLM và GPU |
|
||||
| [接口 AI](https://jiekou.ai/) | ✅ | Nền tảng tổng hợp LLM |
|
||||
| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | ✅ | Nền tảng tài nguyên LLM và GPU |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | ✅ | Cổng LLM (MaaS) |
|
||||
| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | ✅ | |
|
||||
| [Dify](https://dify.ai) | ✅ | Nền tảng LLMOps |
|
||||
| [Ollama](https://ollama.com/) | ✅ | Nền tảng chạy LLM cục bộ |
|
||||
| [LMStudio](https://lmstudio.ai/) | ✅ | Nền tảng chạy LLM cục bộ |
|
||||
| [GiteeAI](https://ai.gitee.com/) | ✅ | Cổng giao diện LLM (MaaS) |
|
||||
| [SiliconFlow](https://siliconflow.cn/) | ✅ | Cổng LLM (MaaS) |
|
||||
| [Aliyun Bailian](https://bailian.console.aliyun.com/) | ✅ | Cổng LLM (MaaS), nền tảng LLMOps |
|
||||
| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | ✅ | Cổng LLM (MaaS), nền tảng LLMOps |
|
||||
| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | ✅ | Cổng LLM (MaaS) |
|
||||
| [MCP](https://modelcontextprotocol.io/) | ✅ | Hỗ trợ truy cập công cụ qua giao thức MCP |
|
||||
## LLM và tích hợp được hỗ trợ
|
||||
|
||||
## 🤝 Đóng góp Cộng đồng
|
||||
| Nhà cung cấp | Loại | Trạng thái |
|
||||
|----------|------|--------|
|
||||
| [OpenAI](https://platform.openai.com/) | LLM | ✅ |
|
||||
| [Anthropic](https://www.anthropic.com/) | LLM | ✅ |
|
||||
| [DeepSeek](https://www.deepseek.com/) | LLM | ✅ |
|
||||
| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | LLM | ✅ |
|
||||
| [xAI](https://x.ai/) | LLM | ✅ |
|
||||
| [Moonshot](https://www.moonshot.cn/) | LLM | ✅ |
|
||||
| [Zhipu AI](https://open.bigmodel.cn/) | LLM | ✅ |
|
||||
| [Ollama](https://ollama.com/) | LLM cục bộ | ✅ |
|
||||
| [LM Studio](https://lmstudio.ai/) | LLM cục bộ | ✅ |
|
||||
| [Dify](https://dify.ai) | LLMOps | ✅ |
|
||||
| [MCP](https://modelcontextprotocol.io/) | Giao thức | ✅ |
|
||||
| [SiliconFlow](https://siliconflow.cn/) | Cổng | ✅ |
|
||||
| [Aliyun Bailian](https://bailian.console.aliyun.com/) | Cổng | ✅ |
|
||||
| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | Cổng | ✅ |
|
||||
| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | Cổng | ✅ |
|
||||
| [GiteeAI](https://ai.gitee.com/) | Cổng | ✅ |
|
||||
| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | Nền tảng GPU | ✅ |
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | Nền tảng GPU | ✅ |
|
||||
| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | Nền tảng GPU | ✅ |
|
||||
| [接口 AI](https://jiekou.ai/) | Cổng | ✅ |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | Cổng | ✅ |
|
||||
|
||||
Cảm ơn các [người đóng góp mã](https://github.com/langbot-app/LangBot/graphs/contributors) sau đây và các thành viên khác trong cộng đồng vì những đóng góp của họ cho LangBot:
|
||||
[→ Xem tất cả tích hợp](https://docs.langbot.app/en/insight/features.html)
|
||||
|
||||
---
|
||||
|
||||
## Tại sao chọn LangBot?
|
||||
|
||||
| Trường hợp sử dụng | LangBot giúp như thế nào |
|
||||
|----------|-------------------|
|
||||
| **Hỗ trợ khách hàng** | Triển khai agent AI trên Slack/Discord/Telegram để trả lời câu hỏi bằng cơ sở kiến thức của bạn |
|
||||
| **Công cụ nội bộ** | Kết nối quy trình n8n/Dify với WeCom/DingTalk để tự động hóa quy trình kinh doanh |
|
||||
| **Quản lý cộng đồng** | Quản lý nhóm QQ/Discord với tính năng lọc nội dung và tương tác được hỗ trợ bởi AI |
|
||||
| **Đa nền tảng** | Một bot, tất cả nền tảng. Quản lý từ một bảng điều khiển duy nhất |
|
||||
|
||||
---
|
||||
|
||||
## Demo trực tuyến
|
||||
|
||||
**Thử ngay:** https://demo.langbot.dev/
|
||||
- Email: `demo@langbot.app`
|
||||
- Mật khẩu: `langbot123456`
|
||||
|
||||
*Lưu ý: Môi trường demo công khai. Không nhập thông tin nhạy cảm.*
|
||||
|
||||
---
|
||||
|
||||
## Cộng đồng
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
|
||||
- [Cộng đồng Discord](https://discord.gg/wdNEHETs87)
|
||||
|
||||
---
|
||||
|
||||
## Lịch sử Star
|
||||
|
||||
[](https://star-history.com/#langbot-app/LangBot&Date)
|
||||
|
||||
---
|
||||
|
||||
## Người đóng góp
|
||||
|
||||
Cảm ơn tất cả [người đóng góp](https://github.com/langbot-app/LangBot/graphs/contributors) đã giúp LangBot trở nên tốt hơn:
|
||||
|
||||
<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
|
||||
<img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
|
||||
|
||||
@@ -9,7 +9,7 @@
|
||||
"url": "https://langbot.app"
|
||||
},
|
||||
"license": {
|
||||
"name": "AGPL-3.0",
|
||||
"name": "Apache-2.0",
|
||||
"url": "https://github.com/langbot-app/LangBot/blob/master/LICENSE"
|
||||
}
|
||||
},
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
[project]
|
||||
name = "langbot"
|
||||
version = "4.8.1"
|
||||
version = "4.8.4"
|
||||
description = "Production-grade platform for building agentic IM bots"
|
||||
readme = "README.md"
|
||||
license-files = ["LICENSE"]
|
||||
@@ -17,7 +17,7 @@ dependencies = [
|
||||
"certifi>=2025.4.26",
|
||||
"colorlog~=6.6.0",
|
||||
"cryptography>=44.0.3",
|
||||
"dashscope>=1.23.2",
|
||||
"dashscope>=1.25.10",
|
||||
"dingtalk-stream>=0.24.0",
|
||||
"discord-py>=2.5.2",
|
||||
"pynacl>=1.5.0", # Required for Discord voice support
|
||||
@@ -64,7 +64,7 @@ dependencies = [
|
||||
"chromadb>=0.4.24",
|
||||
"qdrant-client (>=1.15.1,<2.0.0)",
|
||||
"pyseekdb==1.0.0b7",
|
||||
"langbot-plugin==0.2.5",
|
||||
"langbot-plugin==0.2.6",
|
||||
"asyncpg>=0.30.0",
|
||||
"line-bot-sdk>=3.19.0",
|
||||
"tboxsdk>=0.0.10",
|
||||
|
||||
BIN
res/logo-blue.png
Normal file
BIN
res/logo-blue.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 24 KiB |
@@ -1,3 +1,3 @@
|
||||
"""LangBot - Production-grade platform for building agentic IM bots"""
|
||||
|
||||
__version__ = '4.8.1'
|
||||
__version__ = '4.8.4'
|
||||
|
||||
@@ -347,10 +347,15 @@ class DingTalkClient:
|
||||
raise Exception(f'failed to send proactive massage to group: {traceback.format_exc()}')
|
||||
|
||||
async def create_and_card(
|
||||
self, temp_card_id: str, incoming_message: dingtalk_stream.ChatbotMessage, quote_origin: bool = False
|
||||
self,
|
||||
temp_card_id: str,
|
||||
incoming_message: dingtalk_stream.ChatbotMessage,
|
||||
quote_origin: bool = False,
|
||||
card_auto_layout: bool = False,
|
||||
):
|
||||
content_key = 'content'
|
||||
card_data = {content_key: ''}
|
||||
card_data = {}
|
||||
card_data['config'] = json.dumps({'autoLayout': card_auto_layout})
|
||||
card_data['content'] = ''
|
||||
|
||||
card_instance = dingtalk_stream.AICardReplier(self.client, incoming_message)
|
||||
# print(card_instance)
|
||||
|
||||
@@ -323,3 +323,164 @@ class MonitoringRouterGroup(group.RouterGroup):
|
||||
return self.error(message=f'Message {message_id} not found', code=404)
|
||||
|
||||
return self.success(data=details)
|
||||
|
||||
@self.route('/export', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
|
||||
async def export_data() -> tuple[str, int]:
|
||||
"""Export monitoring data as CSV"""
|
||||
# Parse query parameters
|
||||
export_type = quart.request.args.get('type', 'messages')
|
||||
bot_ids = quart.request.args.getlist('botId')
|
||||
pipeline_ids = quart.request.args.getlist('pipelineId')
|
||||
start_time_str = quart.request.args.get('startTime')
|
||||
end_time_str = quart.request.args.get('endTime')
|
||||
limit = int(quart.request.args.get('limit', 100000))
|
||||
|
||||
# Parse datetime
|
||||
start_time = parse_iso_datetime(start_time_str)
|
||||
end_time = parse_iso_datetime(end_time_str)
|
||||
|
||||
# Get data based on export type
|
||||
if export_type == 'messages':
|
||||
data = await self.ap.monitoring_service.export_messages(
|
||||
bot_ids=bot_ids if bot_ids else None,
|
||||
pipeline_ids=pipeline_ids if pipeline_ids else None,
|
||||
start_time=start_time,
|
||||
end_time=end_time,
|
||||
limit=limit,
|
||||
)
|
||||
headers = [
|
||||
'id',
|
||||
'timestamp',
|
||||
'bot_id',
|
||||
'bot_name',
|
||||
'pipeline_id',
|
||||
'pipeline_name',
|
||||
'runner_name',
|
||||
'message_content',
|
||||
'message_text',
|
||||
'session_id',
|
||||
'status',
|
||||
'level',
|
||||
'platform',
|
||||
'user_id',
|
||||
]
|
||||
elif export_type == 'llm-calls':
|
||||
data = await self.ap.monitoring_service.export_llm_calls(
|
||||
bot_ids=bot_ids if bot_ids else None,
|
||||
pipeline_ids=pipeline_ids if pipeline_ids else None,
|
||||
start_time=start_time,
|
||||
end_time=end_time,
|
||||
limit=limit,
|
||||
)
|
||||
headers = [
|
||||
'id',
|
||||
'timestamp',
|
||||
'model_name',
|
||||
'input_tokens',
|
||||
'output_tokens',
|
||||
'total_tokens',
|
||||
'duration_ms',
|
||||
'cost',
|
||||
'status',
|
||||
'bot_id',
|
||||
'bot_name',
|
||||
'pipeline_id',
|
||||
'pipeline_name',
|
||||
'session_id',
|
||||
'message_id',
|
||||
'error_message',
|
||||
]
|
||||
elif export_type == 'embedding-calls':
|
||||
data = await self.ap.monitoring_service.export_embedding_calls(
|
||||
start_time=start_time,
|
||||
end_time=end_time,
|
||||
limit=limit,
|
||||
)
|
||||
headers = [
|
||||
'id',
|
||||
'timestamp',
|
||||
'model_name',
|
||||
'prompt_tokens',
|
||||
'total_tokens',
|
||||
'duration_ms',
|
||||
'input_count',
|
||||
'status',
|
||||
'error_message',
|
||||
'knowledge_base_id',
|
||||
'query_text',
|
||||
'session_id',
|
||||
'message_id',
|
||||
'call_type',
|
||||
]
|
||||
elif export_type == 'errors':
|
||||
data = await self.ap.monitoring_service.export_errors(
|
||||
bot_ids=bot_ids if bot_ids else None,
|
||||
pipeline_ids=pipeline_ids if pipeline_ids else None,
|
||||
start_time=start_time,
|
||||
end_time=end_time,
|
||||
limit=limit,
|
||||
)
|
||||
headers = [
|
||||
'id',
|
||||
'timestamp',
|
||||
'error_type',
|
||||
'error_message',
|
||||
'bot_id',
|
||||
'bot_name',
|
||||
'pipeline_id',
|
||||
'pipeline_name',
|
||||
'session_id',
|
||||
'message_id',
|
||||
'stack_trace',
|
||||
]
|
||||
elif export_type == 'sessions':
|
||||
data = await self.ap.monitoring_service.export_sessions(
|
||||
bot_ids=bot_ids if bot_ids else None,
|
||||
pipeline_ids=pipeline_ids if pipeline_ids else None,
|
||||
start_time=start_time,
|
||||
end_time=end_time,
|
||||
limit=limit,
|
||||
)
|
||||
headers = [
|
||||
'session_id',
|
||||
'bot_id',
|
||||
'bot_name',
|
||||
'pipeline_id',
|
||||
'pipeline_name',
|
||||
'message_count',
|
||||
'start_time',
|
||||
'last_activity',
|
||||
'is_active',
|
||||
'platform',
|
||||
'user_id',
|
||||
]
|
||||
else:
|
||||
return self.error(message=f'Invalid export type: {export_type}', code=400)
|
||||
|
||||
# Generate CSV content with UTF-8 BOM for Excel compatibility
|
||||
import io
|
||||
|
||||
output = io.StringIO()
|
||||
# Write UTF-8 BOM for Excel
|
||||
output.write('\ufeff')
|
||||
# Write header
|
||||
output.write(','.join(headers) + '\n')
|
||||
|
||||
# Escape and write each row
|
||||
for row in data:
|
||||
escaped_values = []
|
||||
for header in headers:
|
||||
value = row.get(header, '')
|
||||
escaped_values.append(self.ap.monitoring_service._escape_csv_field(value))
|
||||
output.write(','.join(escaped_values) + '\n')
|
||||
|
||||
csv_content = output.getvalue()
|
||||
|
||||
# Return as file download
|
||||
response = await quart.make_response(csv_content)
|
||||
response.headers['Content-Type'] = 'text/csv; charset=utf-8'
|
||||
response.headers['Content-Disposition'] = (
|
||||
f'attachment; filename="monitoring-{export_type}-{int(datetime.datetime.now().timestamp())}.csv"'
|
||||
)
|
||||
|
||||
return response, 200
|
||||
|
||||
@@ -14,6 +14,18 @@ from langbot_plugin.runtime.plugin.mgr import PluginInstallSource
|
||||
|
||||
@group.group_class('plugins', '/api/v1/plugins')
|
||||
class PluginsRouterGroup(group.RouterGroup):
|
||||
async def _check_extensions_limit(self) -> str | None:
|
||||
"""Check if extensions limit is reached. Returns error response if limit exceeded, None otherwise."""
|
||||
limitation = self.ap.instance_config.data.get('system', {}).get('limitation', {})
|
||||
max_extensions = limitation.get('max_extensions', -1)
|
||||
if max_extensions >= 0:
|
||||
plugins = await self.ap.plugin_connector.list_plugins()
|
||||
mcp_servers = await self.ap.mcp_service.get_mcp_servers()
|
||||
total_extensions = len(plugins) + len(mcp_servers)
|
||||
if total_extensions >= max_extensions:
|
||||
return self.http_status(400, -1, f'Maximum number of extensions ({max_extensions}) reached')
|
||||
return None
|
||||
|
||||
async def initialize(self) -> None:
|
||||
@self.route('', methods=['GET'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
|
||||
async def _() -> str:
|
||||
@@ -239,6 +251,10 @@ class PluginsRouterGroup(group.RouterGroup):
|
||||
@self.route('/install/github', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
|
||||
async def _() -> str:
|
||||
"""Install plugin from GitHub release asset"""
|
||||
limit_error = await self._check_extensions_limit()
|
||||
if limit_error is not None:
|
||||
return limit_error
|
||||
|
||||
data = await quart.request.json
|
||||
asset_url = data.get('asset_url', '')
|
||||
owner = data.get('owner', '')
|
||||
@@ -273,6 +289,10 @@ class PluginsRouterGroup(group.RouterGroup):
|
||||
auth_type=group.AuthType.USER_TOKEN_OR_API_KEY,
|
||||
)
|
||||
async def _() -> str:
|
||||
limit_error = await self._check_extensions_limit()
|
||||
if limit_error is not None:
|
||||
return limit_error
|
||||
|
||||
data = await quart.request.json
|
||||
|
||||
ctx = taskmgr.TaskContext.new()
|
||||
@@ -288,6 +308,10 @@ class PluginsRouterGroup(group.RouterGroup):
|
||||
|
||||
@self.route('/install/local', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
|
||||
async def _() -> str:
|
||||
limit_error = await self._check_extensions_limit()
|
||||
if limit_error is not None:
|
||||
return limit_error
|
||||
|
||||
file = (await quart.request.files).get('file')
|
||||
if file is None:
|
||||
return self.http_status(400, -1, 'file is required')
|
||||
|
||||
@@ -13,6 +13,7 @@ class SystemRouterGroup(group.RouterGroup):
|
||||
data={
|
||||
'version': constants.semantic_version,
|
||||
'debug': constants.debug_mode,
|
||||
'edition': constants.edition,
|
||||
'enable_marketplace': self.ap.instance_config.data.get('plugin', {}).get(
|
||||
'enable_marketplace', True
|
||||
),
|
||||
@@ -25,6 +26,7 @@ class SystemRouterGroup(group.RouterGroup):
|
||||
'disable_models_service': self.ap.instance_config.data.get('space', {}).get(
|
||||
'disable_models_service', False
|
||||
),
|
||||
'limitation': self.ap.instance_config.data.get('system', {}).get('limitation', {}),
|
||||
}
|
||||
)
|
||||
|
||||
|
||||
@@ -83,6 +83,14 @@ class BotService:
|
||||
|
||||
async def create_bot(self, bot_data: dict) -> str:
|
||||
"""Create bot"""
|
||||
# Check limitation
|
||||
limitation = self.ap.instance_config.data.get('system', {}).get('limitation', {})
|
||||
max_bots = limitation.get('max_bots', -1)
|
||||
if max_bots >= 0:
|
||||
existing_bots = await self.get_bots()
|
||||
if len(existing_bots) >= max_bots:
|
||||
raise ValueError(f'Maximum number of bots ({max_bots}) reached')
|
||||
|
||||
# TODO: 检查配置信息格式
|
||||
bot_data['uuid'] = str(uuid.uuid4())
|
||||
|
||||
|
||||
@@ -38,6 +38,16 @@ class MCPService:
|
||||
return serialized_servers
|
||||
|
||||
async def create_mcp_server(self, server_data: dict) -> str:
|
||||
# Check limitation (extensions = MCP servers + plugins)
|
||||
limitation = self.ap.instance_config.data.get('system', {}).get('limitation', {})
|
||||
max_extensions = limitation.get('max_extensions', -1)
|
||||
if max_extensions >= 0:
|
||||
existing_mcp_servers = await self.get_mcp_servers()
|
||||
plugins = await self.ap.plugin_connector.list_plugins()
|
||||
total_extensions = len(existing_mcp_servers) + len(plugins)
|
||||
if total_extensions >= max_extensions:
|
||||
raise ValueError(f'Maximum number of extensions ({max_extensions}) reached')
|
||||
|
||||
server_data['uuid'] = str(uuid.uuid4())
|
||||
await self.ap.persistence_mgr.execute_async(sqlalchemy.insert(persistence_mcp.MCPServer).values(server_data))
|
||||
|
||||
|
||||
@@ -64,7 +64,9 @@ class LLMModelsService:
|
||||
models = result.all()
|
||||
return [self.ap.persistence_mgr.serialize_model(persistence_model.LLMModel, m) for m in models]
|
||||
|
||||
async def create_llm_model(self, model_data: dict, preserve_uuid: bool = False) -> str:
|
||||
async def create_llm_model(
|
||||
self, model_data: dict, preserve_uuid: bool = False, auto_set_to_default_pipeline: bool = True
|
||||
) -> str:
|
||||
"""Create a new LLM model"""
|
||||
if not preserve_uuid:
|
||||
model_data['uuid'] = str(uuid.uuid4())
|
||||
@@ -95,18 +97,19 @@ class LLMModelsService:
|
||||
)
|
||||
self.ap.model_mgr.llm_models.append(runtime_llm_model)
|
||||
|
||||
# set the default pipeline model to this model
|
||||
result = await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.select(persistence_pipeline.LegacyPipeline).where(
|
||||
persistence_pipeline.LegacyPipeline.is_default == True
|
||||
if auto_set_to_default_pipeline:
|
||||
# set the default pipeline model to this model
|
||||
result = await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.select(persistence_pipeline.LegacyPipeline).where(
|
||||
persistence_pipeline.LegacyPipeline.is_default == True
|
||||
)
|
||||
)
|
||||
)
|
||||
pipeline = result.first()
|
||||
if pipeline is not None and pipeline.config['ai']['local-agent']['model'] == '':
|
||||
pipeline_config = pipeline.config
|
||||
pipeline_config['ai']['local-agent']['model'] = model_data['uuid']
|
||||
pipeline_data = {'config': pipeline_config}
|
||||
await self.ap.pipeline_service.update_pipeline(pipeline.uuid, pipeline_data)
|
||||
pipeline = result.first()
|
||||
if pipeline is not None and pipeline.config['ai']['local-agent']['model'] == '':
|
||||
pipeline_config = pipeline.config
|
||||
pipeline_config['ai']['local-agent']['model'] = model_data['uuid']
|
||||
pipeline_data = {'config': pipeline_config}
|
||||
await self.ap.pipeline_service.update_pipeline(pipeline.uuid, pipeline_data)
|
||||
|
||||
return model_data['uuid']
|
||||
|
||||
|
||||
@@ -794,3 +794,332 @@ class MonitoringService:
|
||||
},
|
||||
'errors': errors,
|
||||
}
|
||||
|
||||
# ========== Export Methods ==========
|
||||
|
||||
def _escape_csv_field(self, field: str | None) -> str:
|
||||
"""Escape a field for CSV output"""
|
||||
if field is None:
|
||||
return ''
|
||||
# Convert non-string types to string first
|
||||
if not isinstance(field, str):
|
||||
field = str(field)
|
||||
# Replace common escape sequences
|
||||
field = field.replace('\r\n', '\n').replace('\r', '\n')
|
||||
# If field contains comma, double quote, or newline, wrap in quotes
|
||||
if ',' in field or '"' in field or '\n' in field:
|
||||
# Escape double quotes by doubling them
|
||||
field = '"' + field.replace('"', '""') + '"'
|
||||
return field
|
||||
|
||||
def _format_timestamp(self, dt: datetime.datetime) -> str:
|
||||
"""Format datetime to ISO format string"""
|
||||
return dt.strftime('%Y-%m-%d %H:%M:%S')
|
||||
|
||||
def _extract_message_text(self, message_content: str) -> str:
|
||||
"""Extract plain text from message chain JSON"""
|
||||
if not message_content:
|
||||
return ''
|
||||
|
||||
try:
|
||||
import json
|
||||
|
||||
message_chain = json.loads(message_content)
|
||||
if not isinstance(message_chain, list):
|
||||
return message_content
|
||||
|
||||
text_parts = []
|
||||
for component in message_chain:
|
||||
if not isinstance(component, dict):
|
||||
continue
|
||||
component_type = component.get('type')
|
||||
if component_type == 'Plain':
|
||||
text = component.get('text', '')
|
||||
text_parts.append(text)
|
||||
elif component_type == 'At':
|
||||
display = component.get('display', '')
|
||||
target = component.get('target', '')
|
||||
if display:
|
||||
text_parts.append(f'@{display}')
|
||||
elif target:
|
||||
text_parts.append(f'@{target}')
|
||||
elif component_type == 'AtAll':
|
||||
text_parts.append('@All')
|
||||
elif component_type == 'Image':
|
||||
text_parts.append('[Image]')
|
||||
elif component_type == 'File':
|
||||
name = component.get('name', 'File')
|
||||
text_parts.append(f'[File: {name}]')
|
||||
elif component_type == 'Voice':
|
||||
length = component.get('length', 0)
|
||||
text_parts.append(f'[Voice {length}s]')
|
||||
elif component_type == 'Quote':
|
||||
# Quote content is in 'origin' field
|
||||
origin = component.get('origin', [])
|
||||
if isinstance(origin, list):
|
||||
for item in origin:
|
||||
if isinstance(item, dict) and item.get('type') == 'Plain':
|
||||
text_parts.append(f'> {item.get("text", "")}')
|
||||
elif component_type == 'Source':
|
||||
# Skip Source component
|
||||
continue
|
||||
else:
|
||||
# Other unknown types
|
||||
text_parts.append(f'[{component_type}]')
|
||||
|
||||
return ''.join(text_parts)
|
||||
except (json.JSONDecodeError, TypeError, KeyError):
|
||||
# If not valid JSON, return as-is
|
||||
return message_content
|
||||
|
||||
async def export_messages(
|
||||
self,
|
||||
bot_ids: list[str] | None = None,
|
||||
pipeline_ids: list[str] | None = None,
|
||||
start_time: datetime.datetime | None = None,
|
||||
end_time: datetime.datetime | None = None,
|
||||
limit: int = 100000,
|
||||
) -> list[dict]:
|
||||
"""Export messages as list of dictionaries for CSV conversion"""
|
||||
conditions = []
|
||||
|
||||
if bot_ids:
|
||||
conditions.append(persistence_monitoring.MonitoringMessage.bot_id.in_(bot_ids))
|
||||
if pipeline_ids:
|
||||
conditions.append(persistence_monitoring.MonitoringMessage.pipeline_id.in_(pipeline_ids))
|
||||
if start_time:
|
||||
conditions.append(persistence_monitoring.MonitoringMessage.timestamp >= start_time)
|
||||
if end_time:
|
||||
conditions.append(persistence_monitoring.MonitoringMessage.timestamp <= end_time)
|
||||
|
||||
query = sqlalchemy.select(persistence_monitoring.MonitoringMessage).order_by(
|
||||
persistence_monitoring.MonitoringMessage.timestamp.desc()
|
||||
)
|
||||
if conditions:
|
||||
query = query.where(sqlalchemy.and_(*conditions))
|
||||
|
||||
query = query.limit(limit)
|
||||
|
||||
result = await self.ap.persistence_mgr.execute_async(query)
|
||||
rows = result.all()
|
||||
|
||||
return [
|
||||
{
|
||||
'id': row[0].id if isinstance(row, tuple) else row.id,
|
||||
'timestamp': self._format_timestamp(row[0].timestamp if isinstance(row, tuple) else row.timestamp),
|
||||
'bot_id': row[0].bot_id if isinstance(row, tuple) else row.bot_id,
|
||||
'bot_name': row[0].bot_name if isinstance(row, tuple) else row.bot_name,
|
||||
'pipeline_id': row[0].pipeline_id if isinstance(row, tuple) else row.pipeline_id,
|
||||
'pipeline_name': row[0].pipeline_name if isinstance(row, tuple) else row.pipeline_name,
|
||||
'runner_name': row[0].runner_name if isinstance(row, tuple) else row.runner_name,
|
||||
'message_content': row[0].message_content if isinstance(row, tuple) else row.message_content,
|
||||
'message_text': self._extract_message_text(
|
||||
row[0].message_content if isinstance(row, tuple) else row.message_content
|
||||
),
|
||||
'session_id': row[0].session_id if isinstance(row, tuple) else row.session_id,
|
||||
'status': row[0].status if isinstance(row, tuple) else row.status,
|
||||
'level': row[0].level if isinstance(row, tuple) else row.level,
|
||||
'platform': row[0].platform if isinstance(row, tuple) else row.platform,
|
||||
'user_id': row[0].user_id if isinstance(row, tuple) else row.user_id,
|
||||
}
|
||||
for row in rows
|
||||
]
|
||||
|
||||
async def export_llm_calls(
|
||||
self,
|
||||
bot_ids: list[str] | None = None,
|
||||
pipeline_ids: list[str] | None = None,
|
||||
start_time: datetime.datetime | None = None,
|
||||
end_time: datetime.datetime | None = None,
|
||||
limit: int = 100000,
|
||||
) -> list[dict]:
|
||||
"""Export LLM calls as list of dictionaries for CSV conversion"""
|
||||
conditions = []
|
||||
|
||||
if bot_ids:
|
||||
conditions.append(persistence_monitoring.MonitoringLLMCall.bot_id.in_(bot_ids))
|
||||
if pipeline_ids:
|
||||
conditions.append(persistence_monitoring.MonitoringLLMCall.pipeline_id.in_(pipeline_ids))
|
||||
if start_time:
|
||||
conditions.append(persistence_monitoring.MonitoringLLMCall.timestamp >= start_time)
|
||||
if end_time:
|
||||
conditions.append(persistence_monitoring.MonitoringLLMCall.timestamp <= end_time)
|
||||
|
||||
query = sqlalchemy.select(persistence_monitoring.MonitoringLLMCall).order_by(
|
||||
persistence_monitoring.MonitoringLLMCall.timestamp.desc()
|
||||
)
|
||||
if conditions:
|
||||
query = query.where(sqlalchemy.and_(*conditions))
|
||||
|
||||
query = query.limit(limit)
|
||||
|
||||
result = await self.ap.persistence_mgr.execute_async(query)
|
||||
rows = result.all()
|
||||
|
||||
return [
|
||||
{
|
||||
'id': row[0].id if isinstance(row, tuple) else row.id,
|
||||
'timestamp': self._format_timestamp(row[0].timestamp if isinstance(row, tuple) else row.timestamp),
|
||||
'model_name': row[0].model_name if isinstance(row, tuple) else row.model_name,
|
||||
'input_tokens': row[0].input_tokens if isinstance(row, tuple) else row.input_tokens,
|
||||
'output_tokens': row[0].output_tokens if isinstance(row, tuple) else row.output_tokens,
|
||||
'total_tokens': row[0].total_tokens if isinstance(row, tuple) else row.total_tokens,
|
||||
'duration_ms': row[0].duration if isinstance(row, tuple) else row.duration,
|
||||
'cost': row[0].cost if isinstance(row, tuple) else row.cost,
|
||||
'status': row[0].status if isinstance(row, tuple) else row.status,
|
||||
'bot_id': row[0].bot_id if isinstance(row, tuple) else row.bot_id,
|
||||
'bot_name': row[0].bot_name if isinstance(row, tuple) else row.bot_name,
|
||||
'pipeline_id': row[0].pipeline_id if isinstance(row, tuple) else row.pipeline_id,
|
||||
'pipeline_name': row[0].pipeline_name if isinstance(row, tuple) else row.pipeline_name,
|
||||
'session_id': row[0].session_id if isinstance(row, tuple) else row.session_id,
|
||||
'message_id': row[0].message_id if isinstance(row, tuple) else row.message_id,
|
||||
'error_message': row[0].error_message if isinstance(row, tuple) else row.error_message,
|
||||
}
|
||||
for row in rows
|
||||
]
|
||||
|
||||
async def export_embedding_calls(
|
||||
self,
|
||||
start_time: datetime.datetime | None = None,
|
||||
end_time: datetime.datetime | None = None,
|
||||
knowledge_base_id: str | None = None,
|
||||
limit: int = 100000,
|
||||
) -> list[dict]:
|
||||
"""Export embedding calls as list of dictionaries for CSV conversion"""
|
||||
conditions = []
|
||||
|
||||
if start_time:
|
||||
conditions.append(persistence_monitoring.MonitoringEmbeddingCall.timestamp >= start_time)
|
||||
if end_time:
|
||||
conditions.append(persistence_monitoring.MonitoringEmbeddingCall.timestamp <= end_time)
|
||||
if knowledge_base_id:
|
||||
conditions.append(persistence_monitoring.MonitoringEmbeddingCall.knowledge_base_id == knowledge_base_id)
|
||||
|
||||
query = sqlalchemy.select(persistence_monitoring.MonitoringEmbeddingCall).order_by(
|
||||
persistence_monitoring.MonitoringEmbeddingCall.timestamp.desc()
|
||||
)
|
||||
if conditions:
|
||||
query = query.where(sqlalchemy.and_(*conditions))
|
||||
|
||||
query = query.limit(limit)
|
||||
|
||||
result = await self.ap.persistence_mgr.execute_async(query)
|
||||
rows = result.all()
|
||||
|
||||
return [
|
||||
{
|
||||
'id': row[0].id if isinstance(row, tuple) else row.id,
|
||||
'timestamp': self._format_timestamp(row[0].timestamp if isinstance(row, tuple) else row.timestamp),
|
||||
'model_name': row[0].model_name if isinstance(row, tuple) else row.model_name,
|
||||
'prompt_tokens': row[0].prompt_tokens if isinstance(row, tuple) else row.prompt_tokens,
|
||||
'total_tokens': row[0].total_tokens if isinstance(row, tuple) else row.total_tokens,
|
||||
'duration_ms': row[0].duration if isinstance(row, tuple) else row.duration,
|
||||
'input_count': row[0].input_count if isinstance(row, tuple) else row.input_count,
|
||||
'status': row[0].status if isinstance(row, tuple) else row.status,
|
||||
'error_message': row[0].error_message if isinstance(row, tuple) else row.error_message,
|
||||
'knowledge_base_id': row[0].knowledge_base_id if isinstance(row, tuple) else row.knowledge_base_id,
|
||||
'query_text': row[0].query_text if isinstance(row, tuple) else row.query_text,
|
||||
'session_id': row[0].session_id if isinstance(row, tuple) else row.session_id,
|
||||
'message_id': row[0].message_id if isinstance(row, tuple) else row.message_id,
|
||||
'call_type': row[0].call_type if isinstance(row, tuple) else row.call_type,
|
||||
}
|
||||
for row in rows
|
||||
]
|
||||
|
||||
async def export_errors(
|
||||
self,
|
||||
bot_ids: list[str] | None = None,
|
||||
pipeline_ids: list[str] | None = None,
|
||||
start_time: datetime.datetime | None = None,
|
||||
end_time: datetime.datetime | None = None,
|
||||
limit: int = 100000,
|
||||
) -> list[dict]:
|
||||
"""Export errors as list of dictionaries for CSV conversion"""
|
||||
conditions = []
|
||||
|
||||
if bot_ids:
|
||||
conditions.append(persistence_monitoring.MonitoringError.bot_id.in_(bot_ids))
|
||||
if pipeline_ids:
|
||||
conditions.append(persistence_monitoring.MonitoringError.pipeline_id.in_(pipeline_ids))
|
||||
if start_time:
|
||||
conditions.append(persistence_monitoring.MonitoringError.timestamp >= start_time)
|
||||
if end_time:
|
||||
conditions.append(persistence_monitoring.MonitoringError.timestamp <= end_time)
|
||||
|
||||
query = sqlalchemy.select(persistence_monitoring.MonitoringError).order_by(
|
||||
persistence_monitoring.MonitoringError.timestamp.desc()
|
||||
)
|
||||
if conditions:
|
||||
query = query.where(sqlalchemy.and_(*conditions))
|
||||
|
||||
query = query.limit(limit)
|
||||
|
||||
result = await self.ap.persistence_mgr.execute_async(query)
|
||||
rows = result.all()
|
||||
|
||||
return [
|
||||
{
|
||||
'id': row[0].id if isinstance(row, tuple) else row.id,
|
||||
'timestamp': self._format_timestamp(row[0].timestamp if isinstance(row, tuple) else row.timestamp),
|
||||
'error_type': row[0].error_type if isinstance(row, tuple) else row.error_type,
|
||||
'error_message': row[0].error_message if isinstance(row, tuple) else row.error_message,
|
||||
'bot_id': row[0].bot_id if isinstance(row, tuple) else row.bot_id,
|
||||
'bot_name': row[0].bot_name if isinstance(row, tuple) else row.bot_name,
|
||||
'pipeline_id': row[0].pipeline_id if isinstance(row, tuple) else row.pipeline_id,
|
||||
'pipeline_name': row[0].pipeline_name if isinstance(row, tuple) else row.pipeline_name,
|
||||
'session_id': row[0].session_id if isinstance(row, tuple) else row.session_id,
|
||||
'message_id': row[0].message_id if isinstance(row, tuple) else row.message_id,
|
||||
'stack_trace': row[0].stack_trace if isinstance(row, tuple) else row.stack_trace,
|
||||
}
|
||||
for row in rows
|
||||
]
|
||||
|
||||
async def export_sessions(
|
||||
self,
|
||||
bot_ids: list[str] | None = None,
|
||||
pipeline_ids: list[str] | None = None,
|
||||
start_time: datetime.datetime | None = None,
|
||||
end_time: datetime.datetime | None = None,
|
||||
limit: int = 100000,
|
||||
) -> list[dict]:
|
||||
"""Export sessions as list of dictionaries for CSV conversion"""
|
||||
conditions = []
|
||||
|
||||
if bot_ids:
|
||||
conditions.append(persistence_monitoring.MonitoringSession.bot_id.in_(bot_ids))
|
||||
if pipeline_ids:
|
||||
conditions.append(persistence_monitoring.MonitoringSession.pipeline_id.in_(pipeline_ids))
|
||||
if start_time:
|
||||
conditions.append(persistence_monitoring.MonitoringSession.start_time >= start_time)
|
||||
if end_time:
|
||||
conditions.append(persistence_monitoring.MonitoringSession.start_time <= end_time)
|
||||
|
||||
query = sqlalchemy.select(persistence_monitoring.MonitoringSession).order_by(
|
||||
persistence_monitoring.MonitoringSession.last_activity.desc()
|
||||
)
|
||||
if conditions:
|
||||
query = query.where(sqlalchemy.and_(*conditions))
|
||||
|
||||
query = query.limit(limit)
|
||||
|
||||
result = await self.ap.persistence_mgr.execute_async(query)
|
||||
rows = result.all()
|
||||
|
||||
return [
|
||||
{
|
||||
'session_id': row[0].session_id if isinstance(row, tuple) else row.session_id,
|
||||
'bot_id': row[0].bot_id if isinstance(row, tuple) else row.bot_id,
|
||||
'bot_name': row[0].bot_name if isinstance(row, tuple) else row.bot_name,
|
||||
'pipeline_id': row[0].pipeline_id if isinstance(row, tuple) else row.pipeline_id,
|
||||
'pipeline_name': row[0].pipeline_name if isinstance(row, tuple) else row.pipeline_name,
|
||||
'message_count': row[0].message_count if isinstance(row, tuple) else row.message_count,
|
||||
'start_time': self._format_timestamp(row[0].start_time if isinstance(row, tuple) else row.start_time),
|
||||
'last_activity': self._format_timestamp(
|
||||
row[0].last_activity if isinstance(row, tuple) else row.last_activity
|
||||
),
|
||||
'is_active': str(row[0].is_active if isinstance(row, tuple) else row.is_active),
|
||||
'platform': row[0].platform if isinstance(row, tuple) else row.platform,
|
||||
'user_id': row[0].user_id if isinstance(row, tuple) else row.user_id,
|
||||
}
|
||||
for row in rows
|
||||
]
|
||||
|
||||
@@ -76,6 +76,14 @@ class PipelineService:
|
||||
async def create_pipeline(self, pipeline_data: dict, default: bool = False) -> str:
|
||||
from ....utils import paths as path_utils
|
||||
|
||||
# Check limitation
|
||||
limitation = self.ap.instance_config.data.get('system', {}).get('limitation', {})
|
||||
max_pipelines = limitation.get('max_pipelines', -1)
|
||||
if max_pipelines >= 0:
|
||||
existing_pipelines = await self.get_pipelines()
|
||||
if len(existing_pipelines) >= max_pipelines:
|
||||
raise ValueError(f'Maximum number of pipelines ({max_pipelines}) reached')
|
||||
|
||||
pipeline_data['uuid'] = str(uuid.uuid4())
|
||||
pipeline_data['for_version'] = self.ap.ver_mgr.get_current_version()
|
||||
pipeline_data['stages'] = default_stage_order.copy()
|
||||
@@ -153,6 +161,14 @@ class PipelineService:
|
||||
|
||||
async def copy_pipeline(self, pipeline_uuid: str) -> str:
|
||||
"""Copy a pipeline with all its configurations"""
|
||||
# Check limitation
|
||||
limitation = self.ap.instance_config.data.get('system', {}).get('limitation', {})
|
||||
max_pipelines = limitation.get('max_pipelines', -1)
|
||||
if max_pipelines >= 0:
|
||||
existing_pipelines = await self.get_pipelines()
|
||||
if len(existing_pipelines) >= max_pipelines:
|
||||
raise ValueError(f'Maximum number of pipelines ({max_pipelines}) reached')
|
||||
|
||||
# Get the original pipeline
|
||||
result = await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.select(persistence_pipeline.LegacyPipeline).where(
|
||||
|
||||
@@ -0,0 +1,17 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from .. import migration
|
||||
|
||||
|
||||
@migration.migration_class('dingtalk_card_auto_layout', 41)
|
||||
class DingTalkCardAutoLayoutMigration(migration.Migration):
|
||||
"""迁移"""
|
||||
|
||||
async def need_migrate(self) -> bool:
|
||||
"""判断当前环境是否需要运行此迁移"""
|
||||
return True
|
||||
|
||||
async def run(self):
|
||||
"""执行迁移"""
|
||||
self.ap.platform_cfg.data['platform-adapters']['app']['dingtalk']['card_auto_layout'] = False
|
||||
await self.ap.platform_cfg.dump_config()
|
||||
@@ -156,8 +156,10 @@ class LoadConfigStage(stage.BootingStage):
|
||||
)
|
||||
|
||||
constants.instance_id = ap.instance_id.data['instance_id']
|
||||
constants.edition = ap.instance_config.data.get('system', {}).get('edition', 'community')
|
||||
|
||||
print(f'LangBot instance id: {constants.instance_id}')
|
||||
print(f'LangBot edition: {constants.edition}')
|
||||
|
||||
await ap.instance_id.dump_config()
|
||||
|
||||
|
||||
@@ -18,6 +18,7 @@ import langbot_plugin.api.entities.builtin.provider.session as provider_session
|
||||
import langbot_plugin.api.entities.builtin.platform.events as platform_events
|
||||
import langbot_plugin.api.entities.builtin.platform.message as platform_message
|
||||
import langbot_plugin.api.definition.abstract.platform.adapter as abstract_platform_adapter
|
||||
import langbot_plugin.api.entities.events as events
|
||||
|
||||
|
||||
class RuntimeBot:
|
||||
@@ -141,6 +142,56 @@ class RuntimeBot:
|
||||
self.adapter.register_listener(platform_events.FriendMessage, on_friend_message)
|
||||
self.adapter.register_listener(platform_events.GroupMessage, on_group_message)
|
||||
|
||||
async def on_notice(
|
||||
event: platform_events.NoticeEvent,
|
||||
adapter: abstract_platform_adapter.AbstractMessagePlatformAdapter,
|
||||
):
|
||||
await self.logger.info(f'Notice event: {event.notice_type} {event.sub_type}')
|
||||
|
||||
try:
|
||||
event_obj = events.NoticeReceived(
|
||||
notice_type=event.notice_type,
|
||||
sub_type=event.sub_type,
|
||||
group_id=event.group_id,
|
||||
user_id=event.user_id,
|
||||
operator_id=event.operator_id,
|
||||
target_id=event.target_id,
|
||||
message_id=event.message_id,
|
||||
duration=event.duration,
|
||||
file=event.file,
|
||||
honor_type=event.honor_type,
|
||||
)
|
||||
|
||||
if hasattr(self.ap, 'plugin_connector') and self.ap.plugin_connector:
|
||||
await self.ap.plugin_connector.emit_event(event_obj)
|
||||
except Exception:
|
||||
await self.logger.error(f'Error emitting notice event: {traceback.format_exc()}')
|
||||
|
||||
self.adapter.register_listener(platform_events.NoticeEvent, on_notice)
|
||||
|
||||
async def on_request(
|
||||
event: platform_events.RequestEvent,
|
||||
adapter: abstract_platform_adapter.AbstractMessagePlatformAdapter,
|
||||
):
|
||||
await self.logger.info(f'Request event: {event.request_type} {event.sub_type}')
|
||||
|
||||
try:
|
||||
event_obj = events.RequestReceived(
|
||||
request_type=event.request_type,
|
||||
sub_type=event.sub_type,
|
||||
user_id=event.user_id,
|
||||
group_id=event.group_id,
|
||||
comment=event.comment,
|
||||
flag=event.flag,
|
||||
)
|
||||
|
||||
if hasattr(self.ap, 'plugin_connector') and self.ap.plugin_connector:
|
||||
await self.ap.plugin_connector.emit_event(event_obj)
|
||||
except Exception:
|
||||
await self.logger.error(f'Error emitting request event: {traceback.format_exc()}')
|
||||
|
||||
self.adapter.register_listener(platform_events.RequestEvent, on_request)
|
||||
|
||||
async def run(self):
|
||||
async def exception_wrapper():
|
||||
try:
|
||||
|
||||
@@ -306,9 +306,8 @@ class AiocqhttpEventConverter(abstract_platform_adapter.AbstractEventConverter):
|
||||
|
||||
@staticmethod
|
||||
async def target2yiri(event: aiocqhttp.Event, bot=None):
|
||||
yiri_chain = await AiocqhttpMessageConverter.target2yiri(event.message, event.message_id, bot)
|
||||
|
||||
if event.message_type == 'group':
|
||||
yiri_chain = await AiocqhttpMessageConverter.target2yiri(event.message, event.message_id, bot)
|
||||
permission = 'MEMBER'
|
||||
|
||||
if 'role' in event.sender:
|
||||
@@ -334,6 +333,7 @@ class AiocqhttpEventConverter(abstract_platform_adapter.AbstractEventConverter):
|
||||
)
|
||||
return converted_event
|
||||
elif event.message_type == 'private':
|
||||
yiri_chain = await AiocqhttpMessageConverter.target2yiri(event.message, event.message_id, bot)
|
||||
return platform_events.FriendMessage(
|
||||
sender=platform_entities.Friend(
|
||||
id=event.sender['user_id'],
|
||||
@@ -344,6 +344,57 @@ class AiocqhttpEventConverter(abstract_platform_adapter.AbstractEventConverter):
|
||||
time=event.time,
|
||||
source_platform_object=event,
|
||||
)
|
||||
elif event.post_type == 'notice':
|
||||
yiri_chain = platform_message.MessageChain(
|
||||
[
|
||||
platform_message.Source(id=-1, time=datetime.datetime.now()),
|
||||
platform_message.Notice(
|
||||
notice_type=event.get('notice_type', ''),
|
||||
sub_type=event.get('sub_type', ''),
|
||||
user_id=event.get('user_id', None),
|
||||
target_id=event.get('target_id', None),
|
||||
group_id=event.get('group_id', None),
|
||||
operator_id=event.get('operator_id', None),
|
||||
message_id=event.get('message_id', None),
|
||||
duration=event.get('duration', None),
|
||||
file=event.get('file', None),
|
||||
honor_type=event.get('honor_type', None),
|
||||
),
|
||||
]
|
||||
)
|
||||
return platform_events.NoticeEvent(
|
||||
notice_type=event.get('notice_type', ''),
|
||||
sub_type=event.get('sub_type', ''),
|
||||
user_id=event.get('user_id', None),
|
||||
target_id=event.get('target_id', None),
|
||||
group_id=event.get('group_id', None),
|
||||
time=event.time,
|
||||
source_platform_object=event,
|
||||
)
|
||||
elif event.post_type == 'request':
|
||||
yiri_chain = platform_message.MessageChain(
|
||||
[
|
||||
platform_message.Source(id=-1, time=datetime.datetime.now()),
|
||||
platform_message.Request(
|
||||
request_type=event.get('request_type', ''),
|
||||
sub_type=event.get('sub_type', ''),
|
||||
user_id=event.get('user_id', None),
|
||||
group_id=event.get('group_id', None),
|
||||
comment=event.get('comment', ''),
|
||||
flag=event.get('flag', ''),
|
||||
),
|
||||
]
|
||||
)
|
||||
return platform_events.RequestEvent(
|
||||
request_type=event.get('request_type', ''),
|
||||
sub_type=event.get('sub_type', ''),
|
||||
user_id=event.get('user_id', None),
|
||||
group_id=event.get('group_id', None),
|
||||
comment=event.get('comment', ''),
|
||||
flag=event.get('flag', ''),
|
||||
time=event.time,
|
||||
source_platform_object=event,
|
||||
)
|
||||
|
||||
|
||||
class AiocqhttpAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
@@ -413,12 +464,31 @@ class AiocqhttpAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter)
|
||||
await self.logger.error(f'Error in on_message: {traceback.format_exc()}')
|
||||
traceback.print_exc()
|
||||
|
||||
async def on_notice(event: aiocqhttp.Event):
|
||||
self.bot_account_id = event.self_id
|
||||
try:
|
||||
return await callback(await self.event_converter.target2yiri(event, self.bot), self)
|
||||
except Exception:
|
||||
await self.logger.error(f'Error in on_notice: {traceback.format_exc()}')
|
||||
traceback.print_exc()
|
||||
|
||||
async def on_request(event: aiocqhttp.Event):
|
||||
self.bot_account_id = event.self_id
|
||||
try:
|
||||
return await callback(await self.event_converter.target2yiri(event, self.bot), self)
|
||||
except Exception:
|
||||
await self.logger.error(f'Error in on_request: {traceback.format_exc()}')
|
||||
traceback.print_exc()
|
||||
|
||||
if event_type == platform_events.GroupMessage:
|
||||
self.bot.on_message('group')(on_message)
|
||||
# self.bot.on_notice()(on_message)
|
||||
elif event_type == platform_events.FriendMessage:
|
||||
self.bot.on_message('private')(on_message)
|
||||
# self.bot.on_notice()(on_message)
|
||||
elif event_type == platform_events.NoticeEvent:
|
||||
self.bot.on_notice()(on_notice)
|
||||
elif event_type == platform_events.RequestEvent:
|
||||
self.bot.on_request()(on_request)
|
||||
# print(event_type)
|
||||
|
||||
async def on_websocket_connection(event: aiocqhttp.Event):
|
||||
|
||||
@@ -231,7 +231,10 @@ class DingTalkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
card_template_id = self.config['card_template_id']
|
||||
incoming_message = event.source_platform_object.incoming_message
|
||||
# message_id = incoming_message.message_id
|
||||
card_instance, card_instance_id = await self.bot.create_and_card(card_template_id, incoming_message)
|
||||
card_auto_layout = self.config.get('card_ auto_layout', False)
|
||||
card_instance, card_instance_id = await self.bot.create_and_card(
|
||||
card_template_id, incoming_message, card_auto_layout=card_auto_layout
|
||||
)
|
||||
self.card_instance_id_dict[message_id] = (card_instance, card_instance_id)
|
||||
return True
|
||||
|
||||
|
||||
@@ -56,6 +56,13 @@ spec:
|
||||
type: boolean
|
||||
required: true
|
||||
default: false
|
||||
- name: card_auto_layout
|
||||
label:
|
||||
en_US: Card Auto Layout
|
||||
zh_Hans: 卡片宽屏自动布局
|
||||
type: boolean
|
||||
required: false
|
||||
default: false
|
||||
- name: card_template_id
|
||||
label:
|
||||
en_US: card template id
|
||||
|
||||
BIN
src/langbot/pkg/platform/sources/satori.png
Normal file
BIN
src/langbot/pkg/platform/sources/satori.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 10 KiB |
1090
src/langbot/pkg/platform/sources/satori.py
Normal file
1090
src/langbot/pkg/platform/sources/satori.py
Normal file
File diff suppressed because it is too large
Load Diff
65
src/langbot/pkg/platform/sources/satori.yaml
Normal file
65
src/langbot/pkg/platform/sources/satori.yaml
Normal file
@@ -0,0 +1,65 @@
|
||||
apiVersion: v1
|
||||
kind: MessagePlatformAdapter
|
||||
metadata:
|
||||
name: satori
|
||||
label:
|
||||
en_US: Satori
|
||||
zh_Hans: Satori
|
||||
description:
|
||||
en_US: SatoriAdapter
|
||||
zh_Hans: 古明地觉协议适配器
|
||||
icon: satori.png
|
||||
spec:
|
||||
config:
|
||||
- name: platform
|
||||
label:
|
||||
en_US: Platform
|
||||
zh_Hans: 平台名称
|
||||
type: string
|
||||
required: true
|
||||
default: "llonebot"
|
||||
description:
|
||||
en_US: The platform name (e.g., llonebot, discord, telegram)
|
||||
zh_Hans: 平台名称（如 llonebot, discord, telegram）
|
||||
- name: host
|
||||
label:
|
||||
en_US: Host
|
||||
zh_Hans: 主机地址
|
||||
type: string
|
||||
required: true
|
||||
default: "127.0.0.1"
|
||||
description:
|
||||
en_US: The host address of LLOneBot Satori server (e.g., 127.0.0.1, localhost, 192.168.1.100)
|
||||
zh_Hans: LLOneBot Satori服务器的主机地址（如 127.0.0.1, localhost, 192.168.1.100）
|
||||
- name: port
|
||||
label:
|
||||
en_US: Port
|
||||
zh_Hans: 监听端口
|
||||
type: integer
|
||||
required: true
|
||||
default: 5600
|
||||
- name: satori_api_base_url
|
||||
label:
|
||||
en_US: Satori API Endpoint
|
||||
zh_Hans: Satori API 终结点
|
||||
type: string
|
||||
required: true
|
||||
default: "http://localhost:5600/v1"
|
||||
- name: satori_endpoint
|
||||
label:
|
||||
en_US: Satori WebSocket Endpoint
|
||||
zh_Hans: Satori WebSocket 终结点
|
||||
type: string
|
||||
required: true
|
||||
default: "ws://localhost:5600/v1/events"
|
||||
- name: token
|
||||
label:
|
||||
en_US: Token
|
||||
zh_Hans: 令牌
|
||||
type: string
|
||||
required: true
|
||||
default: ""
|
||||
execution:
|
||||
python:
|
||||
path: ./satori.py
|
||||
attr: SatoriAdapter
|
||||
@@ -85,6 +85,26 @@ class TelegramMessageConverter(abstract_platform_adapter.AbstractMessageConverte
|
||||
)
|
||||
)
|
||||
|
||||
if message.voice:
|
||||
if message.caption:
|
||||
message_components.extend(parse_message_text(message.caption))
|
||||
|
||||
file = await message.voice.get_file()
|
||||
|
||||
file_bytes = None
|
||||
file_format = message.voice.mime_type or 'audio/ogg'
|
||||
|
||||
async with aiohttp.ClientSession(trust_env=True) as session:
|
||||
async with session.get(file.file_path) as response:
|
||||
file_bytes = await response.read()
|
||||
|
||||
message_components.append(
|
||||
platform_message.Voice(
|
||||
base64=f'data:{file_format};base64,{base64.b64encode(file_bytes).decode("utf-8")}',
|
||||
length=message.voice.duration,
|
||||
)
|
||||
)
|
||||
|
||||
return platform_message.MessageChain(message_components)
|
||||
|
||||
|
||||
@@ -159,7 +179,9 @@ class TelegramAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
|
||||
application = ApplicationBuilder().token(config['token']).build()
|
||||
bot = application.bot
|
||||
application.add_handler(MessageHandler(filters.TEXT | (filters.COMMAND) | filters.PHOTO, telegram_callback))
|
||||
application.add_handler(
|
||||
MessageHandler(filters.TEXT | (filters.COMMAND) | filters.PHOTO | filters.VOICE, telegram_callback)
|
||||
)
|
||||
super().__init__(
|
||||
config=config,
|
||||
logger=logger,
|
||||
|
||||
@@ -149,6 +149,7 @@ class ModelManager:
|
||||
'prefered_ranking': space_model.featured_order,
|
||||
},
|
||||
preserve_uuid=True,
|
||||
auto_set_to_default_pipeline=False,
|
||||
)
|
||||
|
||||
elif space_model.category == 'embedding':
|
||||
|
||||
@@ -43,7 +43,7 @@ class DeepseekChatCompletions(chatcmpl.OpenAIChatCompletions):
|
||||
# deepseek 不支持多模态，把content都转换成纯文字
|
||||
for m in messages:
|
||||
if 'content' in m and isinstance(m['content'], list):
|
||||
m['content'] = ' '.join([c['text'] for c in m['content']])
|
||||
m['content'] = ' '.join([c['text'] for c in m['content'] if 'text' in c])
|
||||
|
||||
args['messages'] = messages
|
||||
|
||||
|
||||
@@ -118,6 +118,7 @@ class DashScopeAPIRunner(runner.RequestRunner):
|
||||
stream=True, # 流式输出
|
||||
incremental_output=True, # 增量输出，使用流式输出需要开启增量输出
|
||||
session_id=query.session.using_conversation.uuid, # 会话ID用于，多轮对话
|
||||
enable_thinking=has_thoughts,
|
||||
has_thoughts=has_thoughts,
|
||||
# rag_options={ # 主要用于文件交互，暂不支持
|
||||
# "session_file_ids": ["FILE_ID1"], # FILE_ID1 替换为实际的临时文件ID,逗号隔开多个
|
||||
@@ -141,14 +142,14 @@ class DashScopeAPIRunner(runner.RequestRunner):
|
||||
# 获取流式传输的output
|
||||
stream_output = chunk.get('output', {})
|
||||
stream_think = stream_output.get('thoughts', [])
|
||||
if stream_think[0].get('thought'):
|
||||
if stream_think and stream_think[0].get('thought'):
|
||||
if not think_start:
|
||||
think_start = True
|
||||
pending_content += f'<think>\n{stream_think[0].get("thought")}'
|
||||
else:
|
||||
# 继续输出 reasoning_content
|
||||
pending_content += stream_think[0].get('thought')
|
||||
elif stream_think[0].get('thought') == '' and not think_end:
|
||||
elif (not stream_think or stream_think[0].get('thought') == '') and not think_end:
|
||||
think_end = True
|
||||
pending_content += '\n</think>\n'
|
||||
if stream_output.get('text') is not None:
|
||||
|
||||
@@ -289,12 +289,16 @@ class DifyServiceAPIRunner(runner.RequestRunner):
|
||||
yield msg
|
||||
if chunk['event'] == 'message_file':
|
||||
if chunk['type'] == 'image' and chunk['belongs_to'] == 'assistant':
|
||||
base_url = self.dify_client.base_url
|
||||
# 检查URL是否已经是完整的连接
|
||||
if chunk['url'].startswith('http://') or chunk['url'].startswith('https://'):
|
||||
image_url = chunk['url']
|
||||
else:
|
||||
base_url = self.dify_client.base_url
|
||||
|
||||
if base_url.endswith('/v1'):
|
||||
base_url = base_url[:-3]
|
||||
if base_url.endswith('/v1'):
|
||||
base_url = base_url[:-3]
|
||||
|
||||
image_url = base_url + chunk['url']
|
||||
image_url = base_url + chunk['url']
|
||||
|
||||
yield provider_message.Message(
|
||||
role='assistant',
|
||||
@@ -559,12 +563,16 @@ class DifyServiceAPIRunner(runner.RequestRunner):
|
||||
if chunk['event'] == 'message_file':
|
||||
message_idx += 1
|
||||
if chunk['type'] == 'image' and chunk['belongs_to'] == 'assistant':
|
||||
base_url = self.dify_client.base_url
|
||||
# 检查URL是否已经是完整的连接
|
||||
if chunk['url'].startswith('http://') or chunk['url'].startswith('https://'):
|
||||
image_url = chunk['url']
|
||||
else:
|
||||
base_url = self.dify_client.base_url
|
||||
|
||||
if base_url.endswith('/v1'):
|
||||
base_url = base_url[:-3]
|
||||
if base_url.endswith('/v1'):
|
||||
base_url = base_url[:-3]
|
||||
|
||||
image_url = base_url + chunk['url']
|
||||
image_url = base_url + chunk['url']
|
||||
|
||||
yield provider_message.MessageChunk(
|
||||
role='assistant',
|
||||
|
||||
@@ -15,8 +15,13 @@ proxy:
|
||||
http: ''
|
||||
https: ''
|
||||
system:
|
||||
edition: community
|
||||
recovery_key: ''
|
||||
allow_modify_login_info: true
|
||||
limitation:
|
||||
max_bots: -1
|
||||
max_pipelines: -1
|
||||
max_extensions: -1
|
||||
jwt:
|
||||
expire: 604800
|
||||
secret: ''
|
||||
|
||||
@@ -15,7 +15,6 @@ const config = {
|
||||
singleQuote: true,
|
||||
// 大括号前后空格
|
||||
bracketSpacing: true,
|
||||
attributeVerticalAlignment: 'auto',
|
||||
trailingComma: 'all',
|
||||
};
|
||||
|
||||
|
||||
11210
web/package-lock.json
generated
Normal file
11210
web/package-lock.json
generated
Normal file
File diff suppressed because it is too large
Load Diff
@@ -44,7 +44,7 @@
|
||||
"@radix-ui/react-tooltip": "^1.2.7",
|
||||
"@tailwindcss/postcss": "^4.1.5",
|
||||
"@tanstack/react-table": "^8.21.3",
|
||||
"axios": "^1.12.0",
|
||||
"axios": "^1.13.5",
|
||||
"class-variance-authority": "^0.7.1",
|
||||
"clsx": "^2.1.1",
|
||||
"highlight.js": "^11.11.1",
|
||||
|
||||
1321
web/pnpm-lock.yaml
generated
1321
web/pnpm-lock.yaml
generated
File diff suppressed because it is too large
Load Diff
@@ -12,6 +12,7 @@ import { useTranslation } from 'react-i18next';
|
||||
import { extractI18nObject } from '@/i18n/I18nProvider';
|
||||
import BotDetailDialog from '@/app/home/bots/BotDetailDialog';
|
||||
import { CustomApiError } from '@/app/infra/entities/common';
|
||||
import { systemInfo } from '@/app/infra/http';
|
||||
|
||||
export default function BotConfigPage() {
|
||||
const { t } = useTranslation();
|
||||
@@ -60,6 +61,11 @@ export default function BotConfigPage() {
|
||||
}
|
||||
|
||||
function handleCreateBotClick() {
|
||||
const maxBots = systemInfo.limitation?.max_bots ?? -1;
|
||||
if (maxBots >= 0 && botList.length >= maxBots) {
|
||||
toast.error(t('limitation.maxBotsReached', { max: maxBots }));
|
||||
return;
|
||||
}
|
||||
setSelectedBotId('');
|
||||
setDetailDialogOpen(true);
|
||||
}
|
||||
|
||||
@@ -1,5 +1,9 @@
|
||||
import { LoadingPage } from '@/components/ui/loading-spinner';
|
||||
import { LoadingSpinner } from '@/components/ui/loading-spinner';
|
||||
|
||||
export default function Loading() {
|
||||
return <LoadingPage />;
|
||||
return (
|
||||
<div className="flex h-full items-center justify-center">
|
||||
<LoadingSpinner size="lg" />
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
227
web/src/app/home/monitoring/components/ExportDropdown.tsx
Normal file
227
web/src/app/home/monitoring/components/ExportDropdown.tsx
Normal file
@@ -0,0 +1,227 @@
|
||||
'use client';
|
||||
|
||||
import React, { useState } from 'react';
|
||||
import { useTranslation } from 'react-i18next';
|
||||
import {
|
||||
Download,
|
||||
FileText,
|
||||
Database,
|
||||
AlertCircle,
|
||||
Users,
|
||||
Layers,
|
||||
} from 'lucide-react';
|
||||
import { Button } from '@/components/ui/button';
|
||||
import {
|
||||
DropdownMenu,
|
||||
DropdownMenuContent,
|
||||
DropdownMenuItem,
|
||||
DropdownMenuLabel,
|
||||
DropdownMenuSeparator,
|
||||
DropdownMenuTrigger,
|
||||
} from '@/components/ui/dropdown-menu';
|
||||
import { backendClient } from '@/app/infra/http';
|
||||
import { FilterState } from '../types/monitoring';
|
||||
|
||||
export type ExportType =
|
||||
| 'messages'
|
||||
| 'llm-calls'
|
||||
| 'embedding-calls'
|
||||
| 'errors'
|
||||
| 'sessions';
|
||||
|
||||
interface ExportDropdownProps {
|
||||
filterState: FilterState;
|
||||
}
|
||||
|
||||
export function ExportDropdown({ filterState }: ExportDropdownProps) {
|
||||
const { t } = useTranslation();
|
||||
const [exporting, setExporting] = useState<ExportType | null>(null);
|
||||
|
||||
const getDateRangeParams = (): { startTime: string; endTime: string } => {
|
||||
const now = new Date();
|
||||
let startTime: Date;
|
||||
let endTime: Date = now;
|
||||
|
||||
switch (filterState.timeRange) {
|
||||
case 'lastHour':
|
||||
startTime = new Date(now.getTime() - 60 * 60 * 1000);
|
||||
break;
|
||||
case 'last6Hours':
|
||||
startTime = new Date(now.getTime() - 6 * 60 * 60 * 1000);
|
||||
break;
|
||||
case 'last24Hours':
|
||||
startTime = new Date(now.getTime() - 24 * 60 * 60 * 1000);
|
||||
break;
|
||||
case 'last7Days':
|
||||
startTime = new Date(now.getTime() - 7 * 24 * 60 * 60 * 1000);
|
||||
break;
|
||||
case 'last30Days':
|
||||
startTime = new Date(now.getTime() - 30 * 24 * 60 * 60 * 1000);
|
||||
break;
|
||||
case 'custom':
|
||||
if (filterState.customDateRange) {
|
||||
startTime = filterState.customDateRange.from;
|
||||
endTime = filterState.customDateRange.to;
|
||||
} else {
|
||||
startTime = new Date(now.getTime() - 24 * 60 * 60 * 1000);
|
||||
}
|
||||
break;
|
||||
default:
|
||||
startTime = new Date(now.getTime() - 24 * 60 * 60 * 1000);
|
||||
}
|
||||
|
||||
return {
|
||||
startTime: startTime.toISOString(),
|
||||
endTime: endTime.toISOString(),
|
||||
};
|
||||
};
|
||||
|
||||
const handleExport = async (type: ExportType) => {
|
||||
setExporting(type);
|
||||
try {
|
||||
const { startTime, endTime } = getDateRangeParams();
|
||||
const params = new URLSearchParams({
|
||||
type,
|
||||
startTime,
|
||||
endTime,
|
||||
});
|
||||
|
||||
if (filterState.selectedBots.length > 0) {
|
||||
filterState.selectedBots.forEach((botId) => {
|
||||
params.append('botId', botId);
|
||||
});
|
||||
}
|
||||
|
||||
if (filterState.selectedPipelines.length > 0) {
|
||||
filterState.selectedPipelines.forEach((pipelineId) => {
|
||||
params.append('pipelineId', pipelineId);
|
||||
});
|
||||
}
|
||||
|
||||
// Use backendClient's downloadFile method for blob response
|
||||
const response = await backendClient.downloadFile(
|
||||
`/api/v1/monitoring/export?${params.toString()}`,
|
||||
);
|
||||
|
||||
// Get filename from content-disposition header
|
||||
const contentDisposition = response.headers['content-disposition'];
|
||||
let filename = `monitoring-${type}-${Date.now()}.csv`;
|
||||
if (contentDisposition) {
|
||||
const filenameMatch = contentDisposition.match(
|
||||
/filename="?([^";\n]+)"?/,
|
||||
);
|
||||
if (filenameMatch) {
|
||||
filename = filenameMatch[1];
|
||||
}
|
||||
}
|
||||
|
||||
// Create download link
|
||||
const blob = new Blob([response.data], {
|
||||
type: 'text/csv;charset=utf-8;',
|
||||
});
|
||||
const url = window.URL.createObjectURL(blob);
|
||||
const link = document.createElement('a');
|
||||
link.href = url;
|
||||
link.setAttribute('download', filename);
|
||||
document.body.appendChild(link);
|
||||
link.click();
|
||||
document.body.removeChild(link);
|
||||
window.URL.revokeObjectURL(url);
|
||||
} catch (error) {
|
||||
console.error('Failed to export data:', error);
|
||||
} finally {
|
||||
setExporting(null);
|
||||
}
|
||||
};
|
||||
|
||||
const exportOptions: {
|
||||
type: ExportType;
|
||||
label: string;
|
||||
icon: React.ReactNode;
|
||||
}[] = [
|
||||
{
|
||||
type: 'messages',
|
||||
label: t('monitoring.export.messages'),
|
||||
icon: <FileText className="w-4 h-4 mr-2" />,
|
||||
},
|
||||
{
|
||||
type: 'llm-calls',
|
||||
label: t('monitoring.export.llmCalls'),
|
||||
icon: <Database className="w-4 h-4 mr-2" />,
|
||||
},
|
||||
{
|
||||
type: 'embedding-calls',
|
||||
label: t('monitoring.export.embeddingCalls'),
|
||||
icon: <Layers className="w-4 h-4 mr-2" />,
|
||||
},
|
||||
{
|
||||
type: 'errors',
|
||||
label: t('monitoring.export.errors'),
|
||||
icon: <AlertCircle className="w-4 h-4 mr-2" />,
|
||||
},
|
||||
{
|
||||
type: 'sessions',
|
||||
label: t('monitoring.export.sessions'),
|
||||
icon: <Users className="w-4 h-4 mr-2" />,
|
||||
},
|
||||
];
|
||||
|
||||
return (
|
||||
<DropdownMenu>
|
||||
<DropdownMenuTrigger asChild>
|
||||
<Button
|
||||
variant="outline"
|
||||
size="sm"
|
||||
className="bg-white dark:bg-[#2a2a2e] hover:bg-gray-50 dark:hover:bg-gray-800 border-gray-300 dark:border-gray-600 shadow-sm flex-shrink-0"
|
||||
disabled={exporting !== null}
|
||||
>
|
||||
{exporting ? (
|
||||
<>
|
||||
<svg
|
||||
className="w-4 h-4 mr-2 animate-spin"
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
fill="none"
|
||||
viewBox="0 0 24 24"
|
||||
>
|
||||
<circle
|
||||
className="opacity-25"
|
||||
cx="12"
|
||||
cy="12"
|
||||
r="10"
|
||||
stroke="currentColor"
|
||||
strokeWidth="4"
|
||||
/>
|
||||
<path
|
||||
className="opacity-75"
|
||||
fill="currentColor"
|
||||
d="M4 12a8 8 0 018-8V0C5.373 0 0 5.373 0 12h4zm2 5.291A7.962 7.962 0 014 12H0c0 3.042 1.135 5.824 3 7.938l3-2.647z"
|
||||
/>
|
||||
</svg>
|
||||
{t('monitoring.export.exporting')}
|
||||
</>
|
||||
) : (
|
||||
<>
|
||||
<Download className="w-4 h-4 mr-2" />
|
||||
{t('monitoring.exportData')}
|
||||
</>
|
||||
)}
|
||||
</Button>
|
||||
</DropdownMenuTrigger>
|
||||
<DropdownMenuContent align="end" className="w-48">
|
||||
<DropdownMenuLabel>{t('monitoring.export.title')}</DropdownMenuLabel>
|
||||
<DropdownMenuSeparator />
|
||||
{exportOptions.map((option) => (
|
||||
<DropdownMenuItem
|
||||
key={option.type}
|
||||
onClick={() => handleExport(option.type)}
|
||||
disabled={exporting !== null}
|
||||
className="cursor-pointer"
|
||||
>
|
||||
{option.icon}
|
||||
{option.label}
|
||||
</DropdownMenuItem>
|
||||
))}
|
||||
</DropdownMenuContent>
|
||||
</DropdownMenu>
|
||||
);
|
||||
}
|
||||
@@ -74,7 +74,10 @@ export default function TrafficChart({
|
||||
// <= 7 days: 4-hour buckets
|
||||
bucketSize = 4 * 60 * 60 * 1000;
|
||||
formatTime = (date) =>
|
||||
`${date.toLocaleDateString([], { month: 'short', day: 'numeric' })} ${date.toLocaleTimeString([], { hour: '2-digit' })}`;
|
||||
`${date.toLocaleDateString([], {
|
||||
month: 'short',
|
||||
day: 'numeric',
|
||||
})} ${date.toLocaleTimeString([], { hour: '2-digit' })}`;
|
||||
} else {
|
||||
// > 7 days: 1-day buckets
|
||||
bucketSize = 24 * 60 * 60 * 1000;
|
||||
|
||||
@@ -7,6 +7,7 @@ import { Button } from '@/components/ui/button';
|
||||
import { ChevronRight, ChevronDown, ExternalLink } from 'lucide-react';
|
||||
import OverviewCards from './components/overview-cards/OverviewCards';
|
||||
import MonitoringFilters from './components/filters/MonitoringFilters';
|
||||
import { ExportDropdown } from './components/ExportDropdown';
|
||||
import { useMonitoringFilters } from './hooks/useMonitoringFilters';
|
||||
import { useMonitoringData } from './hooks/useMonitoringData';
|
||||
import { MessageDetailsCard } from './components/MessageDetailsCard';
|
||||
@@ -200,22 +201,25 @@ function MonitoringPageContent() {
|
||||
onPipelinesChange={setSelectedPipelines}
|
||||
onTimeRangeChange={setTimeRange}
|
||||
/>
|
||||
<Button
|
||||
variant="outline"
|
||||
size="sm"
|
||||
onClick={refetch}
|
||||
className="bg-white dark:bg-[#2a2a2e] hover:bg-gray-50 dark:hover:bg-gray-800 border-gray-300 dark:border-gray-600 shadow-sm flex-shrink-0"
|
||||
>
|
||||
<svg
|
||||
className="w-4 h-4 mr-2"
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
viewBox="0 0 24 24"
|
||||
fill="currentColor"
|
||||
<div className="flex items-center gap-2">
|
||||
<ExportDropdown filterState={filterState} />
|
||||
<Button
|
||||
variant="outline"
|
||||
size="sm"
|
||||
onClick={refetch}
|
||||
className="bg-white dark:bg-[#2a2a2e] hover:bg-gray-50 dark:hover:bg-gray-800 border-gray-300 dark:border-gray-600 shadow-sm flex-shrink-0"
|
||||
>
|
||||
<path d="M5.46257 4.43262C7.21556 2.91688 9.5007 2 12 2C17.5228 2 22 6.47715 22 12C22 14.1361 21.3302 16.1158 20.1892 17.7406L17 12H20C20 7.58172 16.4183 4 12 4C9.84982 4 7.89777 4.84827 6.46023 6.22842L5.46257 4.43262ZM18.5374 19.5674C16.7844 21.0831 14.4993 22 12 22C6.47715 22 2 17.5228 2 12C2 9.86386 2.66979 7.88416 3.8108 6.25944L7 12H4C4 16.4183 7.58172 20 12 20C14.1502 20 16.1022 19.1517 17.5398 17.7716L18.5374 19.5674Z"></path>
|
||||
</svg>
|
||||
{t('monitoring.refreshData')}
|
||||
</Button>
|
||||
<svg
|
||||
className="w-4 h-4 mr-2"
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
viewBox="0 0 24 24"
|
||||
fill="currentColor"
|
||||
>
|
||||
<path d="M5.46257 4.43262C7.21556 2.91688 9.5007 2 12 2C17.5228 2 22 6.47715 22 12C22 14.1361 21.3302 16.1158 20.1892 17.7406L17 12H20C20 7.58172 16.4183 4 12 4C9.84982 4 7.89777 4.84827 6.46023 6.22842L5.46257 4.43262ZM18.5374 19.5674C16.7844 21.0831 14.4993 22 12 22C6.47715 22 2 17.5228 2 12C2 9.86386 2.66979 7.88416 3.8108 6.25944L7 12H4C4 16.4183 7.58172 20 12 20C14.1502 20 16.1022 19.1517 17.5398 17.7716L18.5374 19.5674Z"></path>
|
||||
</svg>
|
||||
{t('monitoring.refreshData')}
|
||||
</Button>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
@@ -7,7 +7,6 @@ import {
|
||||
DialogHeader,
|
||||
DialogTitle,
|
||||
} from '@/components/ui/dialog';
|
||||
import { Button } from '@/components/ui/button';
|
||||
import {
|
||||
Sidebar,
|
||||
SidebarContent,
|
||||
@@ -21,6 +20,7 @@ import {
|
||||
import PipelineFormComponent from './components/pipeline-form/PipelineFormComponent';
|
||||
import DebugDialog from './components/debug-dialog/DebugDialog';
|
||||
import PipelineExtension from './components/pipeline-extensions/PipelineExtension';
|
||||
import PipelineMonitoringTab from './components/monitoring-tab/PipelineMonitoringTab';
|
||||
|
||||
interface PipelineDialogProps {
|
||||
open: boolean;
|
||||
@@ -34,7 +34,7 @@ interface PipelineDialogProps {
|
||||
onCancel: () => void;
|
||||
}
|
||||
|
||||
type DialogMode = 'config' | 'debug' | 'extensions';
|
||||
type DialogMode = 'config' | 'debug' | 'extensions' | 'monitoring';
|
||||
|
||||
export default function PipelineDialog({
|
||||
open,
|
||||
@@ -111,6 +111,19 @@ export default function PipelineDialog({
|
||||
</svg>
|
||||
),
|
||||
},
|
||||
{
|
||||
key: 'monitoring',
|
||||
label: t('pipelines.monitoring.title'),
|
||||
icon: (
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
viewBox="0 0 24 24"
|
||||
fill="currentColor"
|
||||
>
|
||||
<path d="M2 3.9934C2 3.44476 2.45531 3 2.9918 3H21.0082C21.556 3 22 3.44495 22 3.9934V20.0066C22 20.5552 21.5447 21 21.0082 21H2.9918C2.44405 21 2 20.5551 2 20.0066V3.9934ZM4 5V19H20V5H4ZM6 7H18V9H6V7ZM6 11H18V13H6V11ZM6 15H12V17H6V15Z"></path>
|
||||
</svg>
|
||||
),
|
||||
},
|
||||
];
|
||||
|
||||
const getDialogTitle = () => {
|
||||
@@ -122,6 +135,9 @@ export default function PipelineDialog({
|
||||
if (currentMode === 'extensions') {
|
||||
return t('pipelines.extensions.title');
|
||||
}
|
||||
if (currentMode === 'monitoring') {
|
||||
return t('pipelines.monitoring.title');
|
||||
}
|
||||
return t('pipelines.debugDialog.title');
|
||||
};
|
||||
|
||||
@@ -193,48 +209,23 @@ export default function PipelineDialog({
|
||||
>
|
||||
<DialogTitle>{getDialogTitle()}</DialogTitle>
|
||||
{currentMode === 'debug' && (
|
||||
<>
|
||||
<div className="flex items-center gap-2 ml-2">
|
||||
<div
|
||||
className={`w-2.5 h-2.5 rounded-full ${
|
||||
isWebSocketConnected ? 'bg-green-500' : 'bg-red-500'
|
||||
}`}
|
||||
title={
|
||||
isWebSocketConnected
|
||||
? t('pipelines.debugDialog.connected')
|
||||
: t('pipelines.debugDialog.disconnected')
|
||||
}
|
||||
/>
|
||||
<span className="text-sm text-gray-600 dark:text-gray-400">
|
||||
{isWebSocketConnected
|
||||
<div className="flex items-center gap-2 ml-2">
|
||||
<div
|
||||
className={`w-2.5 h-2.5 rounded-full ${
|
||||
isWebSocketConnected ? 'bg-green-500' : 'bg-red-500'
|
||||
}`}
|
||||
title={
|
||||
isWebSocketConnected
|
||||
? t('pipelines.debugDialog.connected')
|
||||
: t('pipelines.debugDialog.disconnected')}
|
||||
</span>
|
||||
</div>
|
||||
<div className="ml-auto mr-4">
|
||||
<Button
|
||||
variant="outline"
|
||||
size="sm"
|
||||
onClick={() => {
|
||||
router.push(
|
||||
`/home/monitoring?pipelineId=${pipelineId}`,
|
||||
);
|
||||
onOpenChange(false);
|
||||
}}
|
||||
className="bg-white dark:bg-[#2a2a2e]"
|
||||
>
|
||||
<svg
|
||||
className="w-4 h-4 mr-2"
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
viewBox="0 0 24 24"
|
||||
fill="currentColor"
|
||||
>
|
||||
<path d="M2 3.9934C2 3.44476 2.45531 3 2.9918 3H21.0082C21.556 3 22 3.44495 22 3.9934V20.0066C22 20.5552 21.5447 21 21.0082 21H2.9918C2.44405 21 2 20.5551 2 20.0066V3.9934ZM4 5V19H20V5H4ZM6 7H18V9H6V7ZM6 11H18V13H6V11ZM6 15H12V17H6V15Z"></path>
|
||||
</svg>
|
||||
{t('monitoring.viewMonitoring')}
|
||||
</Button>
|
||||
</div>
|
||||
</>
|
||||
: t('pipelines.debugDialog.disconnected')
|
||||
}
|
||||
/>
|
||||
<span className="text-sm text-gray-600 dark:text-gray-400">
|
||||
{isWebSocketConnected
|
||||
? t('pipelines.debugDialog.connected')
|
||||
: t('pipelines.debugDialog.disconnected')}
|
||||
</span>
|
||||
</div>
|
||||
)}
|
||||
</DialogHeader>
|
||||
<div
|
||||
@@ -268,6 +259,16 @@ export default function PipelineDialog({
|
||||
onConnectionStatusChange={setIsWebSocketConnected}
|
||||
/>
|
||||
)}
|
||||
|
||||
{currentMode === 'monitoring' && pipelineId && (
|
||||
<PipelineMonitoringTab
|
||||
pipelineId={pipelineId}
|
||||
onNavigateToMonitoring={() => {
|
||||
router.push(`/home/monitoring?pipelineId=${pipelineId}`);
|
||||
onOpenChange(false);
|
||||
}}
|
||||
/>
|
||||
)}
|
||||
</div>
|
||||
</main>
|
||||
</SidebarProvider>
|
||||
|
||||
@@ -0,0 +1,665 @@
|
||||
'use client';
|
||||
|
||||
import React, { useState, useMemo } from 'react';
|
||||
import { useTranslation } from 'react-i18next';
|
||||
import { Tabs, TabsContent, TabsList, TabsTrigger } from '@/components/ui/tabs';
|
||||
import { Button } from '@/components/ui/button';
|
||||
import { ChevronRight, ChevronDown, ExternalLink } from 'lucide-react';
|
||||
import { useMonitoringData } from '@/app/home/monitoring/hooks/useMonitoringData';
|
||||
import { MessageContentRenderer } from '@/app/home/monitoring/components/MessageContentRenderer';
|
||||
import { LoadingSpinner } from '@/components/ui/loading-spinner';
|
||||
import { httpClient } from '@/app/infra/http/HttpClient';
|
||||
import { MessageDetails } from '@/app/home/monitoring/types/monitoring';
|
||||
|
||||
interface PipelineMonitoringTabProps {
|
||||
pipelineId: string;
|
||||
onNavigateToMonitoring?: () => void;
|
||||
}
|
||||
|
||||
interface RawMessageData {
|
||||
id: string;
|
||||
timestamp: string;
|
||||
bot_id: string;
|
||||
bot_name: string;
|
||||
pipeline_id: string;
|
||||
pipeline_name: string;
|
||||
message_content: string;
|
||||
session_id: string;
|
||||
status: string;
|
||||
level: string;
|
||||
platform: string;
|
||||
user_id: string;
|
||||
runner_name: string;
|
||||
variables: Record<string, unknown>;
|
||||
}
|
||||
|
||||
interface RawLLMCallData {
|
||||
id: string;
|
||||
timestamp: string;
|
||||
model_name: string;
|
||||
status: string;
|
||||
duration: number;
|
||||
error_message: string | null;
|
||||
input_tokens: number;
|
||||
output_tokens: number;
|
||||
total_tokens: number;
|
||||
}
|
||||
|
||||
interface RawLLMStatsData {
|
||||
total_calls: number;
|
||||
total_input_tokens: number;
|
||||
total_output_tokens: number;
|
||||
total_tokens: number;
|
||||
total_duration_ms: number;
|
||||
average_duration_ms: number;
|
||||
}
|
||||
|
||||
interface RawErrorData {
|
||||
id: string;
|
||||
timestamp: string;
|
||||
error_type: string;
|
||||
error_message: string;
|
||||
stack_trace: string | null;
|
||||
}
|
||||
|
||||
export default function PipelineMonitoringTab({
|
||||
pipelineId,
|
||||
onNavigateToMonitoring,
|
||||
}: PipelineMonitoringTabProps) {
|
||||
const { t } = useTranslation();
|
||||
|
||||
// Filter state - only show data for this pipeline, last 24 hours
|
||||
const filterState = useMemo(
|
||||
() => ({
|
||||
selectedBots: [],
|
||||
selectedPipelines: [pipelineId],
|
||||
timeRange: 'last24Hours' as const,
|
||||
customDateRange: null,
|
||||
}),
|
||||
[pipelineId],
|
||||
);
|
||||
|
||||
const { data, loading, refetch } = useMonitoringData(filterState);
|
||||
|
||||
const [expandedMessageId, setExpandedMessageId] = useState<string | null>(
|
||||
null,
|
||||
);
|
||||
const [messageDetails, setMessageDetails] = useState<
|
||||
Record<string, MessageDetails>
|
||||
>({});
|
||||
const [loadingDetails, setLoadingDetails] = useState<Record<string, boolean>>(
|
||||
{},
|
||||
);
|
||||
const [expandedErrorId, setExpandedErrorId] = useState<string | null>(null);
|
||||
const [activeTab, setActiveTab] = useState<string>('messages');
|
||||
|
||||
const toggleMessageExpand = async (messageId: string) => {
|
||||
if (expandedMessageId === messageId) {
|
||||
setExpandedMessageId(null);
|
||||
} else {
|
||||
setExpandedMessageId(messageId);
|
||||
|
||||
if (!messageDetails[messageId]) {
|
||||
setLoadingDetails((prev) => ({ ...prev, [messageId]: true }));
|
||||
try {
|
||||
const result = await httpClient.get<{
|
||||
message_id: string;
|
||||
found: boolean;
|
||||
message: RawMessageData | null;
|
||||
llm_calls: RawLLMCallData[];
|
||||
llm_stats: RawLLMStatsData;
|
||||
errors: RawErrorData[];
|
||||
}>(`/api/v1/monitoring/messages/${messageId}/details`);
|
||||
|
||||
if (result) {
|
||||
setMessageDetails((prev) => ({
|
||||
...prev,
|
||||
[messageId]: {
|
||||
messageId: result.message_id,
|
||||
found: result.found,
|
||||
message: result.message
|
||||
? {
|
||||
id: result.message.id,
|
||||
timestamp: new Date(result.message.timestamp),
|
||||
botId: result.message.bot_id,
|
||||
botName: result.message.bot_name,
|
||||
pipelineId: result.message.pipeline_id,
|
||||
pipelineName: result.message.pipeline_name,
|
||||
messageContent: result.message.message_content,
|
||||
sessionId: result.message.session_id,
|
||||
status: result.message.status,
|
||||
level: result.message.level,
|
||||
platform: result.message.platform,
|
||||
userId: result.message.user_id,
|
||||
runnerName: result.message.runner_name,
|
||||
variables: result.message.variables,
|
||||
}
|
||||
: undefined,
|
||||
llmCalls: result.llm_calls.map((call: RawLLMCallData) => ({
|
||||
id: call.id,
|
||||
timestamp: new Date(call.timestamp),
|
||||
modelName: call.model_name,
|
||||
status: call.status,
|
||||
duration: call.duration,
|
||||
errorMessage: call.error_message,
|
||||
tokens: {
|
||||
input: call.input_tokens || 0,
|
||||
output: call.output_tokens || 0,
|
||||
total: call.total_tokens || 0,
|
||||
},
|
||||
})),
|
||||
errors: result.errors.map((error: RawErrorData) => ({
|
||||
id: error.id,
|
||||
timestamp: new Date(error.timestamp),
|
||||
errorType: error.error_type,
|
||||
errorMessage: error.error_message,
|
||||
stackTrace: error.stack_trace,
|
||||
})),
|
||||
llmStats: {
|
||||
totalCalls: result.llm_stats.total_calls,
|
||||
totalInputTokens: result.llm_stats.total_input_tokens,
|
||||
totalOutputTokens: result.llm_stats.total_output_tokens,
|
||||
totalTokens: result.llm_stats.total_tokens,
|
||||
totalDurationMs: result.llm_stats.total_duration_ms,
|
||||
averageDurationMs: result.llm_stats.average_duration_ms,
|
||||
},
|
||||
} as MessageDetails,
|
||||
}));
|
||||
}
|
||||
} catch (error) {
|
||||
console.error('Failed to fetch message details:', error);
|
||||
} finally {
|
||||
setLoadingDetails((prev) => ({ ...prev, [messageId]: false }));
|
||||
}
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
const toggleErrorExpand = (errorId: string) => {
|
||||
if (expandedErrorId === errorId) {
|
||||
setExpandedErrorId(null);
|
||||
} else {
|
||||
setExpandedErrorId(errorId);
|
||||
}
|
||||
};
|
||||
|
||||
const jumpToMessage = async (messageId: string) => {
|
||||
setActiveTab('messages');
|
||||
// Small delay to ensure tab transition completes before expanding
|
||||
setTimeout(() => {
|
||||
toggleMessageExpand(messageId);
|
||||
}, 100);
|
||||
};
|
||||
|
||||
return (
|
||||
<div className="w-full h-full flex flex-col">
|
||||
{/* Header with refresh button */}
|
||||
<div className="flex items-center justify-between mb-4 pb-4 border-b border-gray-200 dark:border-gray-700">
|
||||
<p className="text-sm text-gray-500 dark:text-gray-400">
|
||||
{t('pipelines.monitoring.description')}
|
||||
</p>
|
||||
<div className="flex items-center gap-2">
|
||||
{onNavigateToMonitoring && (
|
||||
<Button
|
||||
variant="outline"
|
||||
size="sm"
|
||||
onClick={onNavigateToMonitoring}
|
||||
className="bg-white dark:bg-[#2a2a2e] hover:bg-gray-50 dark:hover:bg-gray-800 border-gray-300 dark:border-gray-600"
|
||||
>
|
||||
<svg
|
||||
className="w-4 h-4 mr-2"
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
viewBox="0 0 24 24"
|
||||
fill="currentColor"
|
||||
>
|
||||
<path d="M10 6V8H5V19H16V14H18V20C18 20.5523 17.5523 21 17 21H4C3.44772 21 3 20.5523 3 20V7C3 6.44772 3.44772 6 4 6H10ZM21 3V11H19V6.413L11.2071 14.2071L9.79289 12.7929L17.585 5H13V3H21Z"></path>
|
||||
</svg>
|
||||
{t('pipelines.monitoring.detailedLogs')}
|
||||
</Button>
|
||||
)}
|
||||
<Button
|
||||
variant="outline"
|
||||
size="sm"
|
||||
onClick={refetch}
|
||||
className="bg-white dark:bg-[#2a2a2e] hover:bg-gray-50 dark:hover:bg-gray-800 border-gray-300 dark:border-gray-600"
|
||||
>
|
||||
<svg
|
||||
className="w-4 h-4 mr-2"
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
viewBox="0 0 24 24"
|
||||
fill="currentColor"
|
||||
>
|
||||
<path d="M5.46257 4.43262C7.21556 2.91688 9.5007 2 12 2C17.5228 2 22 6.47715 22 12C22 14.1361 21.3302 16.1158 20.1892 17.7406L17 12H20C20 7.58172 16.4183 4 12 4C9.84982 4 7.89777 4.84827 6.46023 6.22842L5.46257 4.43262ZM18.5374 19.5674C16.7844 21.0831 14.4993 22 12 22C6.47715 22 2 17.5228 2 12C2 9.86386 2.66979 7.88416 3.8108 6.25944L7 12H4C4 16.4183 7.58172 20 12 20C14.1502 20 16.1022 19.1517 17.5398 17.7716L18.5374 19.5674Z"></path>
|
||||
</svg>
|
||||
{t('monitoring.refreshData')}
|
||||
</Button>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* Overview Stats */}
|
||||
{data && (
|
||||
<div className="grid grid-cols-3 gap-4 mb-6">
|
||||
<div className="bg-white dark:bg-[#2a2a2e] rounded-lg border border-gray-200 dark:border-gray-700 p-4">
|
||||
<div className="text-sm text-gray-500 dark:text-gray-400">
|
||||
{t('monitoring.totalMessages')}
|
||||
</div>
|
||||
<div className="text-2xl font-bold text-gray-900 dark:text-gray-100 mt-1">
|
||||
{data.overview.totalMessages}
|
||||
</div>
|
||||
</div>
|
||||
<div className="bg-white dark:bg-[#2a2a2e] rounded-lg border border-gray-200 dark:border-gray-700 p-4">
|
||||
<div className="text-sm text-gray-500 dark:text-gray-400">
|
||||
{t('monitoring.successRate')}
|
||||
</div>
|
||||
<div className="text-2xl font-bold text-gray-900 dark:text-gray-100 mt-1">
|
||||
{data.overview.successRate.toFixed(1)}%
|
||||
</div>
|
||||
</div>
|
||||
<div className="bg-white dark:bg-[#2a2a2e] rounded-lg border border-gray-200 dark:border-gray-700 p-4">
|
||||
<div className="text-sm text-gray-500 dark:text-gray-400">
|
||||
{t('monitoring.tabs.errors')}
|
||||
</div>
|
||||
<div className="text-2xl font-bold text-red-600 dark:text-red-400 mt-1">
|
||||
{data.errors.length}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
|
||||
{/* Tabs */}
|
||||
<Tabs
|
||||
value={activeTab}
|
||||
onValueChange={setActiveTab}
|
||||
className="flex-1 flex flex-col min-h-0"
|
||||
>
|
||||
<TabsList className="bg-gray-100 dark:bg-[#1a1a1e] h-10 p-1 mb-4">
|
||||
<TabsTrigger
|
||||
value="messages"
|
||||
className="px-4 py-1.5 text-sm font-medium cursor-pointer data-[state=active]:bg-white dark:data-[state=active]:bg-[#2a2a2e] data-[state=active]:shadow-sm"
|
||||
>
|
||||
{t('monitoring.tabs.messages')}
|
||||
</TabsTrigger>
|
||||
<TabsTrigger
|
||||
value="errors"
|
||||
className="px-4 py-1.5 text-sm font-medium cursor-pointer data-[state=active]:bg-white dark:data-[state=active]:bg-[#2a2a2e] data-[state=active]:shadow-sm"
|
||||
>
|
||||
{t('monitoring.tabs.errors')}
|
||||
</TabsTrigger>
|
||||
<TabsTrigger
|
||||
value="llmCalls"
|
||||
className="px-4 py-1.5 text-sm font-medium cursor-pointer data-[state=active]:bg-white dark:data-[state=active]:bg-[#2a2a2e] data-[state=active]:shadow-sm"
|
||||
>
|
||||
{t('monitoring.tabs.modelCalls')}
|
||||
</TabsTrigger>
|
||||
</TabsList>
|
||||
|
||||
<div className="flex-1 overflow-y-auto min-h-0">
|
||||
{/* Messages Tab */}
|
||||
<TabsContent value="messages" className="m-0 h-full">
|
||||
{loading && (
|
||||
<div className="py-12 flex justify-center">
|
||||
<LoadingSpinner text={t('monitoring.messageList.loading')} />
|
||||
</div>
|
||||
)}
|
||||
|
||||
{!loading && data && data.messages && data.messages.length > 0 && (
|
||||
<div className="space-y-3">
|
||||
{data.messages
|
||||
.filter((msg) => {
|
||||
const content = msg.messageContent?.trim();
|
||||
return content && content !== '[]' && content !== '""';
|
||||
})
|
||||
.map((msg) => (
|
||||
<div
|
||||
key={msg.id}
|
||||
className="border border-gray-200 dark:border-gray-700 rounded-lg overflow-hidden hover:shadow-md transition-all duration-200"
|
||||
>
|
||||
<div
|
||||
className="p-4 cursor-pointer hover:bg-gray-50 dark:hover:bg-gray-800/50 transition-colors"
|
||||
onClick={() => toggleMessageExpand(msg.id)}
|
||||
>
|
||||
<div className="flex items-start justify-between">
|
||||
<div className="flex items-start flex-1">
|
||||
<div className="mr-2 mt-0.5">
|
||||
{expandedMessageId === msg.id ? (
|
||||
<ChevronDown className="w-4 h-4 text-gray-500" />
|
||||
) : (
|
||||
<ChevronRight className="w-4 h-4 text-gray-500" />
|
||||
)}
|
||||
</div>
|
||||
<div className="flex-1">
|
||||
<div className="flex items-center gap-2 mb-1">
|
||||
<span
|
||||
className={`text-xs px-2 py-0.5 rounded ${
|
||||
msg.status === 'success'
|
||||
? 'bg-green-100 text-green-800 dark:bg-green-900 dark:text-green-200'
|
||||
: msg.status === 'error'
|
||||
? 'bg-red-100 text-red-800 dark:bg-red-900 dark:text-red-200'
|
||||
: 'bg-yellow-100 text-yellow-800 dark:bg-yellow-900 dark:text-yellow-200'
|
||||
}`}
|
||||
>
|
||||
{msg.status}
|
||||
</span>
|
||||
<span className="text-xs text-gray-500 dark:text-gray-400">
|
||||
{msg.botName}
|
||||
</span>
|
||||
</div>
|
||||
<div className="text-sm text-gray-700 dark:text-gray-300 line-clamp-2">
|
||||
<MessageContentRenderer
|
||||
content={msg.messageContent}
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<span className="text-xs text-gray-500 dark:text-gray-400 whitespace-nowrap ml-4">
|
||||
{msg.timestamp.toLocaleString()}
|
||||
</span>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{expandedMessageId === msg.id && (
|
||||
<div className="border-t border-gray-200 dark:border-gray-700 p-4 bg-gray-50 dark:bg-gray-900">
|
||||
{loadingDetails[msg.id] && (
|
||||
<div className="flex justify-center py-8">
|
||||
<LoadingSpinner
|
||||
text={t('monitoring.messageList.loading')}
|
||||
/>
|
||||
</div>
|
||||
)}
|
||||
|
||||
{!loadingDetails[msg.id] &&
|
||||
messageDetails[msg.id] && (
|
||||
<div className="space-y-4">
|
||||
{messageDetails[msg.id].errors.length > 0 && (
|
||||
<div className="bg-red-50 dark:bg-red-900/20 rounded-lg p-3">
|
||||
<h4 className="text-sm font-semibold text-red-700 dark:text-red-400 mb-2">
|
||||
{t('monitoring.errors.errorMessage')}
|
||||
</h4>
|
||||
{messageDetails[msg.id].errors.map(
|
||||
(error) => (
|
||||
<div
|
||||
key={error.id}
|
||||
className="text-sm space-y-2"
|
||||
>
|
||||
<div className="text-red-600 dark:text-red-400">
|
||||
{error.errorType}:{' '}
|
||||
{error.errorMessage}
|
||||
</div>
|
||||
{error.stackTrace && (
|
||||
<pre className="text-xs text-gray-600 dark:text-gray-400 overflow-auto max-h-40 bg-white dark:bg-gray-900 p-2 rounded whitespace-pre-wrap break-words">
|
||||
{error.stackTrace}
|
||||
</pre>
|
||||
)}
|
||||
</div>
|
||||
),
|
||||
)}
|
||||
</div>
|
||||
)}
|
||||
|
||||
{messageDetails[msg.id].llmCalls.length > 0 && (
|
||||
<div className="bg-blue-50 dark:bg-blue-900/20 rounded-lg p-3">
|
||||
<h4 className="text-sm font-semibold text-blue-700 dark:text-blue-400 mb-2">
|
||||
{t('monitoring.tabs.modelCalls')} (
|
||||
{messageDetails[msg.id].llmCalls.length})
|
||||
</h4>
|
||||
<div className="text-xs text-gray-600 dark:text-gray-400 space-y-1">
|
||||
<div>
|
||||
{t('monitoring.llmCalls.totalTokens')}:{' '}
|
||||
{
|
||||
messageDetails[msg.id].llmStats
|
||||
.totalTokens
|
||||
}
|
||||
</div>
|
||||
<div>
|
||||
{t('monitoring.llmCalls.duration')}:{' '}
|
||||
{messageDetails[
|
||||
msg.id
|
||||
].llmStats.totalDurationMs.toFixed(0)}
|
||||
ms
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
)}
|
||||
|
||||
{!loading &&
|
||||
(!data || !data.messages || data.messages.length === 0) && (
|
||||
<div className="text-center text-gray-500 dark:text-gray-400 py-16">
|
||||
<svg
|
||||
className="w-16 h-16 mx-auto mb-4 text-gray-300 dark:text-gray-600"
|
||||
fill="none"
|
||||
viewBox="0 0 24 24"
|
||||
stroke="currentColor"
|
||||
>
|
||||
<path
|
||||
strokeLinecap="round"
|
||||
strokeLinejoin="round"
|
||||
strokeWidth={1.5}
|
||||
d="M8 12h.01M12 12h.01M16 12h.01M21 12c0 4.418-4.03 8-9 8a9.863 9.863 0 01-4.255-.949L3 20l1.395-3.72C3.512 15.042 3 13.574 3 12c0-4.418 4.03-8 9-8s9 3.582 9 8z"
|
||||
/>
|
||||
</svg>
|
||||
<p className="text-base font-medium">
|
||||
{t('monitoring.messageList.noMessages')}
|
||||
</p>
|
||||
</div>
|
||||
)}
|
||||
</TabsContent>
|
||||
|
||||
{/* Errors Tab */}
|
||||
<TabsContent value="errors" className="m-0 h-full">
|
||||
{loading && (
|
||||
<div className="py-12 flex justify-center">
|
||||
<LoadingSpinner text={t('common.loading')} />
|
||||
</div>
|
||||
)}
|
||||
|
||||
{!loading && data && data.errors && data.errors.length > 0 && (
|
||||
<div className="space-y-3">
|
||||
{data.errors.map((error) => (
|
||||
<div
|
||||
key={error.id}
|
||||
className="border border-red-200 dark:border-red-900 rounded-lg overflow-hidden hover:shadow-md transition-all duration-200"
|
||||
>
|
||||
<div
|
||||
className="p-4 cursor-pointer hover:bg-red-50 dark:hover:bg-red-950/50 transition-colors bg-red-50/50 dark:bg-red-950/30"
|
||||
onClick={() => toggleErrorExpand(error.id)}
|
||||
>
|
||||
<div className="flex items-start justify-between">
|
||||
<div className="flex items-start flex-1">
|
||||
<div className="mr-2 mt-0.5">
|
||||
{expandedErrorId === error.id ? (
|
||||
<ChevronDown className="w-4 h-4 text-red-500" />
|
||||
) : (
|
||||
<ChevronRight className="w-4 h-4 text-red-500" />
|
||||
)}
|
||||
</div>
|
||||
<div className="flex-1">
|
||||
<div className="flex items-center gap-2 mb-1">
|
||||
{error.messageId && (
|
||||
<Button
|
||||
variant="ghost"
|
||||
size="sm"
|
||||
className="h-5 px-1.5 text-xs"
|
||||
onClick={(e) => {
|
||||
e.stopPropagation();
|
||||
jumpToMessage(error.messageId!);
|
||||
}}
|
||||
>
|
||||
<ExternalLink className="w-3 h-3 mr-1" />
|
||||
{t('monitoring.messageList.viewConversation')}
|
||||
</Button>
|
||||
)}
|
||||
</div>
|
||||
<div className="font-medium text-sm text-red-700 dark:text-red-300 mb-1">
|
||||
{error.errorType}
|
||||
</div>
|
||||
<p className="text-sm text-red-600 dark:text-red-400 line-clamp-2">
|
||||
{error.errorMessage}
|
||||
</p>
|
||||
</div>
|
||||
</div>
|
||||
<span className="text-xs text-gray-500 dark:text-gray-400 whitespace-nowrap ml-4">
|
||||
{error.timestamp.toLocaleString()}
|
||||
</span>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{expandedErrorId === error.id && (
|
||||
<div className="border-t border-red-200 dark:border-red-900 p-4 bg-white dark:bg-gray-900">
|
||||
<div className="space-y-3">
|
||||
<div className="bg-red-50 dark:bg-red-900/20 rounded-lg p-3">
|
||||
<h4 className="text-sm font-semibold text-red-700 dark:text-red-400 mb-2">
|
||||
{t('monitoring.errors.errorMessage')}
|
||||
</h4>
|
||||
<div className="text-sm text-red-600 dark:text-red-400 whitespace-pre-wrap break-words">
|
||||
{error.errorMessage}
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{error.stackTrace && (
|
||||
<div className="bg-gray-50 dark:bg-gray-800 rounded-lg p-3">
|
||||
<h4 className="text-sm font-semibold text-gray-700 dark:text-gray-300 mb-2">
|
||||
{t('monitoring.errors.stackTrace')}
|
||||
</h4>
|
||||
<pre className="text-xs text-gray-600 dark:text-gray-400 overflow-auto max-h-60 bg-white dark:bg-gray-900 p-2 rounded whitespace-pre-wrap break-words">
|
||||
{error.stackTrace}
|
||||
</pre>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
)}
|
||||
|
||||
{!loading &&
|
||||
(!data || !data.errors || data.errors.length === 0) && (
|
||||
<div className="text-center text-gray-500 dark:text-gray-400 py-16">
|
||||
<svg
|
||||
className="w-16 h-16 mx-auto mb-4 text-green-300 dark:text-green-600"
|
||||
fill="none"
|
||||
viewBox="0 0 24 24"
|
||||
stroke="currentColor"
|
||||
>
|
||||
<path
|
||||
strokeLinecap="round"
|
||||
strokeLinejoin="round"
|
||||
strokeWidth={1.5}
|
||||
d="M9 12l2 2 4-4m6 2a9 9 0 11-18 0 9 9 0 0118 0z"
|
||||
/>
|
||||
</svg>
|
||||
<p className="text-base font-medium text-green-600 dark:text-green-400">
|
||||
{t('monitoring.errors.noErrors')}
|
||||
</p>
|
||||
</div>
|
||||
)}
|
||||
</TabsContent>
|
||||
|
||||
{/* LLM Calls Tab */}
|
||||
<TabsContent value="llmCalls" className="m-0 h-full">
|
||||
{loading && (
|
||||
<div className="py-12 flex justify-center">
|
||||
<LoadingSpinner text={t('common.loading')} />
|
||||
</div>
|
||||
)}
|
||||
|
||||
{!loading && data && data.llmCalls && data.llmCalls.length > 0 && (
|
||||
<div className="space-y-3">
|
||||
{data.llmCalls.map((call) => (
|
||||
<div
|
||||
key={call.id}
|
||||
className="border border-gray-200 dark:border-gray-700 rounded-lg p-4 hover:shadow-md transition-all duration-200"
|
||||
>
|
||||
<div className="flex items-start justify-between">
|
||||
<div className="flex-1">
|
||||
<div className="flex items-center gap-2 mb-2">
|
||||
<span
|
||||
className={`text-xs px-2 py-0.5 rounded ${
|
||||
call.status === 'success'
|
||||
? 'bg-green-100 text-green-800 dark:bg-green-900 dark:text-green-200'
|
||||
: 'bg-red-100 text-red-800 dark:bg-red-900 dark:text-red-200'
|
||||
}`}
|
||||
>
|
||||
{call.status}
|
||||
</span>
|
||||
</div>
|
||||
<div className="font-medium text-sm text-gray-700 dark:text-gray-300 mb-2">
|
||||
{call.modelName}
|
||||
</div>
|
||||
<div className="text-xs text-gray-600 dark:text-gray-400 space-y-1">
|
||||
<div className="flex flex-wrap gap-4">
|
||||
<span>
|
||||
{t('monitoring.llmCalls.inputTokens')}:{' '}
|
||||
{call.tokens.input}
|
||||
</span>
|
||||
<span>
|
||||
{t('monitoring.llmCalls.outputTokens')}:{' '}
|
||||
{call.tokens.output}
|
||||
</span>
|
||||
<span>
|
||||
{t('monitoring.llmCalls.totalTokens')}:{' '}
|
||||
{call.tokens.total}
|
||||
</span>
|
||||
<span>
|
||||
{t('monitoring.llmCalls.duration')}:{' '}
|
||||
{call.duration}ms
|
||||
</span>
|
||||
{call.cost && (
|
||||
<span>
|
||||
{t('monitoring.llmCalls.cost')}: $
|
||||
{call.cost.toFixed(4)}
|
||||
</span>
|
||||
)}
|
||||
</div>
|
||||
</div>
|
||||
{call.errorMessage && (
|
||||
<div className="mt-2 text-xs text-red-600 dark:text-red-400">
|
||||
Error: {call.errorMessage}
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
<span className="text-xs text-gray-500 dark:text-gray-400 whitespace-nowrap ml-4">
|
||||
{call.timestamp.toLocaleString()}
|
||||
</span>
|
||||
</div>
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
)}
|
||||
|
||||
{!loading &&
|
||||
(!data || !data.llmCalls || data.llmCalls.length === 0) && (
|
||||
<div className="text-center text-gray-500 dark:text-gray-400 py-16">
|
||||
<svg
|
||||
className="w-16 h-16 mx-auto mb-4 text-gray-300 dark:text-gray-600"
|
||||
fill="none"
|
||||
viewBox="0 0 24 24"
|
||||
stroke="currentColor"
|
||||
>
|
||||
<path
|
||||
strokeLinecap="round"
|
||||
strokeLinejoin="round"
|
||||
strokeWidth={1.5}
|
||||
d="M9.75 17L9 20l-1 1h8l-1-1-.75-3M3 13h18M5 17h14a2 2 0 002-2V5a2 2 0 00-2-2H5a2 2 0 00-2 2v10a2 2 0 002 2z"
|
||||
/>
|
||||
</svg>
|
||||
<p className="text-base font-medium">
|
||||
{t('monitoring.llmCalls.noData')}
|
||||
</p>
|
||||
</div>
|
||||
)}
|
||||
</TabsContent>
|
||||
</div>
|
||||
</Tabs>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
@@ -1,4 +1,4 @@
|
||||
import { useEffect, useState } from 'react';
|
||||
import { useEffect, useRef, useState, useMemo } from 'react';
|
||||
import { httpClient } from '@/app/infra/http/HttpClient';
|
||||
import { GetPipelineResponseData, Pipeline } from '@/app/infra/entities/api';
|
||||
import {
|
||||
@@ -118,6 +118,14 @@ export default function PipelineFormComponent({
|
||||
},
|
||||
});
|
||||
|
||||
// Track unsaved changes by comparing current form values against a saved snapshot
|
||||
const savedSnapshotRef = useRef<string>('');
|
||||
const watchedValues = form.watch();
|
||||
const hasUnsavedChanges = useMemo(() => {
|
||||
if (!isEditMode || !savedSnapshotRef.current) return false;
|
||||
return JSON.stringify(watchedValues) !== savedSnapshotRef.current;
|
||||
}, [isEditMode, watchedValues]);
|
||||
|
||||
useEffect(() => {
|
||||
// get config schema from metadata
|
||||
httpClient.getGeneralPipelineMetadata().then((resp) => {
|
||||
@@ -139,7 +147,7 @@ export default function PipelineFormComponent({
|
||||
.getPipeline(pipelineId || '')
|
||||
.then((resp: GetPipelineResponseData) => {
|
||||
setIsDefaultPipeline(resp.pipeline.is_default ?? false);
|
||||
form.reset({
|
||||
const loadedValues = {
|
||||
basic: {
|
||||
name: resp.pipeline.name,
|
||||
description: resp.pipeline.description,
|
||||
@@ -149,7 +157,9 @@ export default function PipelineFormComponent({
|
||||
trigger: resp.pipeline.config.trigger,
|
||||
safety: resp.pipeline.config.safety,
|
||||
output: resp.pipeline.config.output,
|
||||
});
|
||||
};
|
||||
form.reset(loadedValues);
|
||||
savedSnapshotRef.current = JSON.stringify(loadedValues);
|
||||
});
|
||||
}
|
||||
}, []);
|
||||
@@ -216,6 +226,7 @@ export default function PipelineFormComponent({
|
||||
httpClient
|
||||
.updatePipeline(pipelineId || '', pipeline)
|
||||
.then(() => {
|
||||
savedSnapshotRef.current = JSON.stringify(form.getValues());
|
||||
onFinish();
|
||||
toast.success(t('pipelines.saveSuccess'));
|
||||
})
|
||||
@@ -509,7 +520,14 @@ export default function PipelineFormComponent({
|
||||
</form>
|
||||
{/* 按钮栏移到 Tabs 外部，始终固定底部 */}
|
||||
{showButtons && (
|
||||
<div className="flex justify-end gap-2 pt-4 border-t mb-0 bg-white dark:bg-black sticky bottom-0 z-10">
|
||||
<div className="flex justify-end items-center gap-2 pt-4 border-t mb-0 bg-white dark:bg-black sticky bottom-0 z-10">
|
||||
{isEditMode && hasUnsavedChanges && (
|
||||
<div className="text-amber-600 dark:text-amber-400 text-sm flex items-center gap-1.5 mr-auto">
|
||||
<span className="inline-block w-1.5 h-1.5 rounded-full bg-amber-500" />
|
||||
{t('pipelines.unsavedChanges')}
|
||||
</div>
|
||||
)}
|
||||
|
||||
{isEditMode && !isDefaultPipeline && (
|
||||
<Button
|
||||
type="button"
|
||||
|
||||
@@ -15,6 +15,7 @@ import {
|
||||
SelectTrigger,
|
||||
SelectValue,
|
||||
} from '@/components/ui/select';
|
||||
import { systemInfo } from '@/app/infra/http';
|
||||
|
||||
export default function PluginConfigPage() {
|
||||
const { t } = useTranslation();
|
||||
@@ -87,6 +88,11 @@ export default function PluginConfigPage() {
|
||||
};
|
||||
|
||||
const handleCreateNew = () => {
|
||||
const maxPipelines = systemInfo.limitation?.max_pipelines ?? -1;
|
||||
if (maxPipelines >= 0 && pipelineList.length >= maxPipelines) {
|
||||
toast.error(t('limitation.maxPipelinesReached', { max: maxPipelines }));
|
||||
return;
|
||||
}
|
||||
setIsEditForm(false);
|
||||
setSelectedPipelineId('');
|
||||
setDialogOpen(true);
|
||||
|
||||
@@ -389,7 +389,9 @@ const PluginInstalledComponent = forwardRef<PluginInstalledComponentRef>(
|
||||
<DialogHeader className="px-6 pt-6 pb-2 border-b">
|
||||
<DialogTitle>
|
||||
{readmePlugin &&
|
||||
`${readmePlugin.author}/${readmePlugin.name} - ${t('plugins.readme')}`}
|
||||
`${readmePlugin.author}/${readmePlugin.name} - ${t(
|
||||
'plugins.readme',
|
||||
)}`}
|
||||
</DialogTitle>
|
||||
</DialogHeader>
|
||||
<div className="flex-1 overflow-y-auto">
|
||||
|
||||
@@ -1,6 +1,13 @@
|
||||
'use client';
|
||||
|
||||
import { useState, useEffect, useCallback, useRef, Suspense } from 'react';
|
||||
import {
|
||||
useState,
|
||||
useEffect,
|
||||
useCallback,
|
||||
useRef,
|
||||
Suspense,
|
||||
useMemo,
|
||||
} from 'react';
|
||||
import { Input } from '@/components/ui/input';
|
||||
import {
|
||||
Select,
|
||||
@@ -23,6 +30,8 @@ import { LoadingSpinner } from '@/components/ui/loading-spinner';
|
||||
import { TagsFilter } from './TagsFilter';
|
||||
import { PluginTag } from '@/app/infra/http/CloudServiceClient';
|
||||
|
||||
import { RecommendationLists, RecommendationList } from './RecommendationLists';
|
||||
|
||||
interface SortOption {
|
||||
value: string;
|
||||
label: string;
|
||||
@@ -50,6 +59,9 @@ function MarketPageContent({
|
||||
const [currentPage, setCurrentPage] = useState(1);
|
||||
const [total, setTotal] = useState(0);
|
||||
const [sortOption, setSortOption] = useState('install_count_desc');
|
||||
const [recommendationLists, setRecommendationLists] = useState<
|
||||
RecommendationList[]
|
||||
>([]);
|
||||
|
||||
const pageSize = 16; // 每页16个，4行x4列
|
||||
const searchTimeoutRef = useRef<NodeJS.Timeout | null>(null);
|
||||
@@ -203,6 +215,20 @@ function MarketPageContent({
|
||||
}
|
||||
};
|
||||
|
||||
// Fetch recommendation lists
|
||||
useEffect(() => {
|
||||
async function fetchRecommendationLists() {
|
||||
try {
|
||||
const response =
|
||||
await getCloudServiceClientSync().getRecommendationLists();
|
||||
setRecommendationLists(response.lists || []);
|
||||
} catch (error) {
|
||||
console.error('Failed to fetch recommendation lists:', error);
|
||||
}
|
||||
}
|
||||
fetchRecommendationLists();
|
||||
}, []);
|
||||
|
||||
// 搜索功能
|
||||
const handleSearch = useCallback(
|
||||
(query: string) => {
|
||||
@@ -306,6 +332,39 @@ function MarketPageContent({
|
||||
};
|
||||
}, []);
|
||||
|
||||
// 计算所有推荐插件的 ID 集合
|
||||
const recommendedPluginIds = useMemo(() => {
|
||||
const ids = new Set<string>();
|
||||
recommendationLists.forEach((list) => {
|
||||
list.plugins.forEach((plugin) => {
|
||||
ids.add(`${plugin.author} / ${plugin.name}`);
|
||||
});
|
||||
});
|
||||
return ids;
|
||||
}, [recommendationLists]);
|
||||
|
||||
// 过滤掉已在推荐列表中展示的插件
|
||||
// 仅在显示推荐列表的条件下（无搜索、无筛选、第一页或后续页的累积数据中）进行过滤
|
||||
// 注意：如果用户翻页，我们希望一直保持去重，否则推荐过的插件会在第二页出现
|
||||
// 但是推荐列表只在第一页且无筛选时显示。
|
||||
// 如果用户进行了筛选/搜索，推荐列表不显示，此时不需要去重。
|
||||
const visiblePlugins = useMemo(() => {
|
||||
const showRecommendations =
|
||||
!searchQuery && componentFilter === 'all' && selectedTags.length === 0;
|
||||
|
||||
if (!showRecommendations) {
|
||||
return plugins;
|
||||
}
|
||||
|
||||
return plugins.filter((p) => !recommendedPluginIds.has(p.pluginId));
|
||||
}, [
|
||||
plugins,
|
||||
recommendedPluginIds,
|
||||
searchQuery,
|
||||
componentFilter,
|
||||
selectedTags,
|
||||
]);
|
||||
|
||||
// 加载更多
|
||||
const loadMore = useCallback(() => {
|
||||
if (!isLoadingMore && hasMore) {
|
||||
@@ -494,6 +553,20 @@ function MarketPageContent({
|
||||
ref={scrollContainerRef}
|
||||
className="flex-1 overflow-y-auto px-3 sm:px-4"
|
||||
>
|
||||
{/* Recommendation Lists */}
|
||||
{!searchQuery &&
|
||||
componentFilter === 'all' &&
|
||||
selectedTags.length === 0 &&
|
||||
currentPage === 1 && (
|
||||
<div className="pt-4">
|
||||
<RecommendationLists
|
||||
lists={recommendationLists}
|
||||
tagNames={tagNames}
|
||||
onInstall={handleInstallPlugin}
|
||||
/>
|
||||
</div>
|
||||
)}
|
||||
|
||||
{isLoading ? (
|
||||
<div className="flex items-center justify-center py-12">
|
||||
<LoadingSpinner text={t('market.loading')} />
|
||||
@@ -507,7 +580,7 @@ function MarketPageContent({
|
||||
) : (
|
||||
<>
|
||||
<div className="grid grid-cols-1 sm:grid-cols-2 lg:grid-cols-3 2xl:grid-cols-4 gap-6 pb-6 pt-4">
|
||||
{plugins.map((plugin) => (
|
||||
{visiblePlugins.map((plugin) => (
|
||||
<PluginMarketCardComponent
|
||||
key={plugin.pluginId}
|
||||
cardVO={plugin}
|
||||
|
||||
@@ -0,0 +1,139 @@
|
||||
'use client';
|
||||
|
||||
import { useState } from 'react';
|
||||
import { ChevronLeft, ChevronRight, Star } from 'lucide-react';
|
||||
import { Button } from '@/components/ui/button';
|
||||
import PluginMarketCardComponent from './plugin-market-card/PluginMarketCardComponent';
|
||||
import { PluginMarketCardVO } from './plugin-market-card/PluginMarketCardVO';
|
||||
import { PluginV4 } from '@/app/infra/entities/plugin';
|
||||
import { I18nObject } from '@/app/infra/entities/common';
|
||||
import { extractI18nObject } from '@/i18n/I18nProvider';
|
||||
import { getCloudServiceClientSync } from '@/app/infra/http';
|
||||
import { useTranslation } from 'react-i18next';
|
||||
|
||||
export interface RecommendationList {
|
||||
uuid: string;
|
||||
label: I18nObject;
|
||||
sort_order: number;
|
||||
plugins: PluginV4[];
|
||||
}
|
||||
|
||||
const PAGE_SIZE = 4; // plugins per page in a recommendation row
|
||||
|
||||
function pluginToVO(
|
||||
plugin: PluginV4,
|
||||
t: (key: string) => string,
|
||||
): PluginMarketCardVO {
|
||||
return new PluginMarketCardVO({
|
||||
pluginId: plugin.author + ' / ' + plugin.name,
|
||||
author: plugin.author,
|
||||
pluginName: plugin.name,
|
||||
label: extractI18nObject(plugin.label),
|
||||
description:
|
||||
extractI18nObject(plugin.description) || t('market.noDescription'),
|
||||
installCount: plugin.install_count,
|
||||
iconURL: getCloudServiceClientSync().getPluginIconURL(
|
||||
plugin.author,
|
||||
plugin.name,
|
||||
),
|
||||
githubURL: plugin.repository,
|
||||
version: plugin.latest_version,
|
||||
components: plugin.components,
|
||||
tags: plugin.tags || [],
|
||||
});
|
||||
}
|
||||
|
||||
function RecommendationListRow({
|
||||
list,
|
||||
tagNames,
|
||||
onInstall,
|
||||
}: {
|
||||
list: RecommendationList;
|
||||
tagNames: Record<string, string>;
|
||||
onInstall: (author: string, pluginName: string) => void;
|
||||
}) {
|
||||
const { t } = useTranslation();
|
||||
const [page, setPage] = useState(0);
|
||||
|
||||
const plugins = list.plugins || [];
|
||||
const totalPages = Math.ceil(plugins.length / PAGE_SIZE);
|
||||
const start = page * PAGE_SIZE;
|
||||
const visiblePlugins = plugins.slice(start, start + PAGE_SIZE);
|
||||
|
||||
if (plugins.length === 0) return null;
|
||||
|
||||
return (
|
||||
<div className="mb-6">
|
||||
<div className="flex items-center justify-between mb-3">
|
||||
<div className="flex items-center gap-2">
|
||||
<Star className="w-4 h-4 text-yellow-500" />
|
||||
<h3 className="font-semibold text-base">
|
||||
{extractI18nObject(list.label)}
|
||||
</h3>
|
||||
</div>
|
||||
{totalPages > 1 && (
|
||||
<div className="flex items-center gap-1">
|
||||
<Button
|
||||
variant="ghost"
|
||||
size="sm"
|
||||
onClick={() => setPage((p) => Math.max(0, p - 1))}
|
||||
disabled={page === 0}
|
||||
className="h-7 w-7 p-0"
|
||||
>
|
||||
<ChevronLeft className="w-4 h-4" />
|
||||
</Button>
|
||||
<span className="text-xs text-muted-foreground px-1">
|
||||
{page + 1} / {totalPages}
|
||||
</span>
|
||||
<Button
|
||||
variant="ghost"
|
||||
size="sm"
|
||||
onClick={() => setPage((p) => Math.min(totalPages - 1, p + 1))}
|
||||
disabled={page >= totalPages - 1}
|
||||
className="h-7 w-7 p-0"
|
||||
>
|
||||
<ChevronRight className="w-4 h-4" />
|
||||
</Button>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
<div className="grid grid-cols-1 sm:grid-cols-2 lg:grid-cols-3 2xl:grid-cols-4 gap-6">
|
||||
{visiblePlugins.map((plugin) => (
|
||||
<PluginMarketCardComponent
|
||||
key={plugin.author + ' / ' + plugin.name}
|
||||
cardVO={pluginToVO(plugin, t)}
|
||||
tagNames={tagNames}
|
||||
onInstall={onInstall}
|
||||
/>
|
||||
))}
|
||||
</div>
|
||||
{totalPages > 1 && <div className="border-b border-border mt-6" />}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
export function RecommendationLists({
|
||||
lists,
|
||||
tagNames,
|
||||
onInstall,
|
||||
}: {
|
||||
lists: RecommendationList[];
|
||||
tagNames: Record<string, string>;
|
||||
onInstall: (author: string, pluginName: string) => void;
|
||||
}) {
|
||||
if (!lists || lists.length === 0) return null;
|
||||
|
||||
return (
|
||||
<div className="mt-6">
|
||||
{lists.map((list) => (
|
||||
<RecommendationListRow
|
||||
key={list.uuid}
|
||||
list={list}
|
||||
tagNames={tagNames}
|
||||
onInstall={onInstall}
|
||||
/>
|
||||
))}
|
||||
<div className="border-b border-border mb-6" />
|
||||
</div>
|
||||
);
|
||||
}
|
||||
@@ -110,7 +110,7 @@ export default function PluginMarketCardComponent({
|
||||
<line x1="12" y1="15" x2="12" y2="3" />
|
||||
</svg>
|
||||
<div className="text-xs sm:text-sm text-[#2563eb] dark:text-[#5b8def] font-medium whitespace-nowrap">
|
||||
{cardVO.installCount.toLocaleString()}
|
||||
{cardVO.installCount?.toLocaleString() ?? '0'}
|
||||
</div>
|
||||
</div>
|
||||
|
||||
|
||||
@@ -453,7 +453,10 @@ export default function MCPFormDialog({
|
||||
onSuccess?.();
|
||||
} catch (error) {
|
||||
console.error('Failed to save MCP server:', error);
|
||||
toast.error(isEditMode ? t('mcp.updateFailed') : t('mcp.createFailed'));
|
||||
const errMsg = (error as CustomApiError).msg || '';
|
||||
toast.error(
|
||||
(isEditMode ? t('mcp.updateFailed') : t('mcp.createFailed')) + errMsg,
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@@ -186,6 +186,28 @@ export default function PluginConfigPage() {
|
||||
setFetchingAssets(false);
|
||||
}
|
||||
|
||||
async function checkExtensionsLimit(): Promise<boolean> {
|
||||
const maxExtensions = systemInfo.limitation?.max_extensions ?? -1;
|
||||
if (maxExtensions < 0) return true;
|
||||
try {
|
||||
const [pluginsResp, mcpResp] = await Promise.all([
|
||||
httpClient.getPlugins(),
|
||||
httpClient.getMCPServers(),
|
||||
]);
|
||||
const total =
|
||||
(pluginsResp.plugins?.length ?? 0) + (mcpResp.servers?.length ?? 0);
|
||||
if (total >= maxExtensions) {
|
||||
toast.error(
|
||||
t('limitation.maxExtensionsReached', { max: maxExtensions }),
|
||||
);
|
||||
return false;
|
||||
}
|
||||
} catch {
|
||||
// If we can't check, let backend handle it
|
||||
}
|
||||
return true;
|
||||
}
|
||||
|
||||
async function fetchGithubReleases() {
|
||||
if (!githubURL.trim()) {
|
||||
toast.error(t('plugins.enterRepoUrl'));
|
||||
@@ -328,6 +350,8 @@ export default function PluginConfigPage() {
|
||||
return;
|
||||
}
|
||||
|
||||
if (!(await checkExtensionsLimit())) return;
|
||||
|
||||
setModalOpen(true);
|
||||
setPluginInstallStatus(PluginInstallStatus.INSTALLING);
|
||||
setInstallError(null);
|
||||
@@ -336,7 +360,8 @@ export default function PluginConfigPage() {
|
||||
[t, pluginSystemStatus, installPlugin],
|
||||
);
|
||||
|
||||
const handleFileSelect = useCallback(() => {
|
||||
const handleFileSelect = useCallback(async () => {
|
||||
if (!(await checkExtensionsLimit())) return;
|
||||
if (fileInputRef.current) {
|
||||
fileInputRef.current.click();
|
||||
}
|
||||
@@ -633,7 +658,8 @@ export default function PluginConfigPage() {
|
||||
{activeTab === 'mcp-servers' ? (
|
||||
<>
|
||||
<DropdownMenuItem
|
||||
onClick={() => {
|
||||
onClick={async () => {
|
||||
if (!(await checkExtensionsLimit())) return;
|
||||
setActiveTab('mcp-servers');
|
||||
setIsEditMode(false);
|
||||
setEditingServerName(null);
|
||||
@@ -661,7 +687,8 @@ export default function PluginConfigPage() {
|
||||
{t('plugins.uploadLocal')}
|
||||
</DropdownMenuItem>
|
||||
<DropdownMenuItem
|
||||
onClick={() => {
|
||||
onClick={async () => {
|
||||
if (!(await checkExtensionsLimit())) return;
|
||||
setInstallSource('github');
|
||||
setPluginInstallStatus(PluginInstallStatus.WAIT_INPUT);
|
||||
setInstallError(null);
|
||||
@@ -683,7 +710,8 @@ export default function PluginConfigPage() {
|
||||
</TabsContent>
|
||||
<TabsContent value="market" className="flex-1 overflow-y-auto mt-0">
|
||||
<MarketPage
|
||||
installPlugin={(plugin: PluginV4) => {
|
||||
installPlugin={async (plugin: PluginV4) => {
|
||||
if (!(await checkExtensionsLimit())) return;
|
||||
setInstallSource('marketplace');
|
||||
setInstallInfo({
|
||||
plugin_author: plugin.author,
|
||||
|
||||
@@ -240,13 +240,21 @@ export interface PluginReorderElement {
|
||||
}
|
||||
|
||||
// system
|
||||
export interface SystemLimitation {
|
||||
max_bots: number;
|
||||
max_pipelines: number;
|
||||
max_extensions: number;
|
||||
}
|
||||
|
||||
export interface ApiRespSystemInfo {
|
||||
debug: boolean;
|
||||
version: string;
|
||||
edition: string;
|
||||
cloud_service_url: string;
|
||||
enable_marketplace: boolean;
|
||||
allow_modify_login_info: boolean;
|
||||
disable_models_service: boolean;
|
||||
limitation: SystemLimitation;
|
||||
}
|
||||
|
||||
export interface ApiRespPluginSystemStatus {
|
||||
|
||||
@@ -206,4 +206,19 @@ export abstract class BaseHttpClient {
|
||||
...config,
|
||||
});
|
||||
}
|
||||
|
||||
public async downloadFile(
|
||||
url: string,
|
||||
config?: RequestConfig,
|
||||
): Promise<AxiosResponse<Blob>> {
|
||||
try {
|
||||
const response = await this.instance.get<Blob>(url, {
|
||||
responseType: 'blob',
|
||||
...config,
|
||||
});
|
||||
return response;
|
||||
} catch (error) {
|
||||
return this.handleError(error as object);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -3,6 +3,8 @@ import {
|
||||
ApiRespMarketplacePluginDetail,
|
||||
ApiRespMarketplacePlugins,
|
||||
} from '@/app/infra/entities/api';
|
||||
import { PluginV4 } from '@/app/infra/entities/plugin';
|
||||
import { I18nObject } from '@/app/infra/entities/common';
|
||||
|
||||
/**
|
||||
* 云服务客户端
|
||||
@@ -98,6 +100,19 @@ export class CloudServiceClient extends BaseHttpClient {
|
||||
public getAllTags(): Promise<{ tags: PluginTag[] }> {
|
||||
return this.get<{ tags: PluginTag[] }>('/api/v1/marketplace/tags');
|
||||
}
|
||||
|
||||
public getRecommendationLists(): Promise<{ lists: RecommendationList[] }> {
|
||||
return this.get<{ lists: RecommendationList[] }>(
|
||||
'/api/v1/marketplace/recommendation-lists',
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
export interface RecommendationList {
|
||||
uuid: string;
|
||||
label: I18nObject;
|
||||
sort_order: number;
|
||||
plugins: PluginV4[];
|
||||
}
|
||||
|
||||
export interface PluginTag {
|
||||
|
||||
@@ -6,10 +6,16 @@ import { ApiRespSystemInfo } from '@/app/infra/entities/api';
|
||||
export let systemInfo: ApiRespSystemInfo = {
|
||||
debug: false,
|
||||
version: '',
|
||||
edition: 'community',
|
||||
enable_marketplace: true,
|
||||
cloud_service_url: '',
|
||||
allow_modify_login_info: true,
|
||||
disable_models_service: false,
|
||||
limitation: {
|
||||
max_bots: -1,
|
||||
max_pipelines: -1,
|
||||
max_extensions: -1,
|
||||
},
|
||||
};
|
||||
|
||||
// 用户信息
|
||||
|
||||
@@ -589,6 +589,7 @@ const enUS = {
|
||||
copyConfirmTitle: 'Confirm Copy',
|
||||
copyConfirmation:
|
||||
'Are you sure you want to copy this pipeline? This will create a new pipeline with all configurations.',
|
||||
unsavedChanges: 'You have unsaved changes',
|
||||
extensions: {
|
||||
title: 'Extensions',
|
||||
loadError: 'Failed to load plugins',
|
||||
@@ -644,6 +645,12 @@ const enUS = {
|
||||
showMarkdown: 'Show Markdown',
|
||||
showRaw: 'Show Raw',
|
||||
},
|
||||
monitoring: {
|
||||
title: 'Monitoring',
|
||||
description:
|
||||
'View execution logs and errors for this pipeline (last 24 hours)',
|
||||
detailedLogs: 'Detailed Logs',
|
||||
},
|
||||
},
|
||||
knowledge: {
|
||||
title: 'Knowledge',
|
||||
@@ -946,6 +953,23 @@ const enUS = {
|
||||
viewMonitoring: 'View Monitoring',
|
||||
refreshData: 'Refresh Data',
|
||||
exportData: 'Export Data',
|
||||
export: {
|
||||
title: 'Export Data',
|
||||
exporting: 'Exporting...',
|
||||
messages: 'Messages',
|
||||
llmCalls: 'LLM Calls',
|
||||
embeddingCalls: 'Embedding Calls',
|
||||
errors: 'Error Logs',
|
||||
sessions: 'Sessions',
|
||||
},
|
||||
},
|
||||
limitation: {
|
||||
maxBotsReached:
|
||||
'Maximum number of bots ({{max}}) reached. Please remove an existing bot before creating a new one.',
|
||||
maxPipelinesReached:
|
||||
'Maximum number of pipelines ({{max}}) reached. Please remove an existing pipeline before creating a new one.',
|
||||
maxExtensionsReached:
|
||||
'Maximum number of extensions ({{max}}) reached. Please remove an existing MCP server or plugin before adding a new one.',
|
||||
},
|
||||
};
|
||||
|
||||
|
||||
@@ -591,6 +591,7 @@ const jaJP = {
|
||||
copyConfirmTitle: 'コピーの確認',
|
||||
copyConfirmation:
|
||||
'このパイプラインをコピーしますか？すべての設定を含む新しいパイプラインが作成されます。',
|
||||
unsavedChanges: '未保存の変更があります',
|
||||
extensions: {
|
||||
title: 'プラグイン統合',
|
||||
loadError: 'プラグインリストの読み込みに失敗しました',
|
||||
@@ -647,6 +648,11 @@ const jaJP = {
|
||||
showMarkdown: 'Markdownで表示',
|
||||
showRaw: '原文で表示',
|
||||
},
|
||||
monitoring: {
|
||||
title: 'モニタリング',
|
||||
description: 'このパイプラインの実行ログとエラー情報を表示（過去24時間）',
|
||||
detailedLogs: '詳細ログ',
|
||||
},
|
||||
},
|
||||
knowledge: {
|
||||
title: '知識ベース',
|
||||
@@ -934,6 +940,23 @@ const jaJP = {
|
||||
viewMonitoring: 'モニタリングを表示',
|
||||
refreshData: 'データを更新',
|
||||
exportData: 'データをエクスポート',
|
||||
export: {
|
||||
title: 'データをエクスポート',
|
||||
exporting: 'エクスポート中...',
|
||||
messages: 'メッセージ',
|
||||
llmCalls: 'LLM コール',
|
||||
embeddingCalls: 'Embedding コール',
|
||||
errors: 'エラーログ',
|
||||
sessions: 'セッション',
|
||||
},
|
||||
},
|
||||
limitation: {
|
||||
maxBotsReached:
|
||||
'ボット数が上限（{{max}}個）に達しました。新しいボットを作成するには、既存のボットを削除してください。',
|
||||
maxPipelinesReached:
|
||||
'パイプライン数が上限（{{max}}個）に達しました。新しいパイプラインを作成するには、既存のパイプラインを削除してください。',
|
||||
maxExtensionsReached:
|
||||
'拡張機能数が上限（{{max}}個）に達しました。新しい MCP サーバーやプラグインを追加するには、既存のものを削除してください。',
|
||||
},
|
||||
};
|
||||
|
||||
|
||||
@@ -565,6 +565,7 @@ const zhHans = {
|
||||
copyConfirmTitle: '确认复制',
|
||||
copyConfirmation:
|
||||
'确定要复制这个流水线吗？复制将创建一个包含完整配置的新流水线。',
|
||||
unsavedChanges: '有未保存的更改',
|
||||
extensions: {
|
||||
title: '扩展集成',
|
||||
loadError: '加载插件列表失败',
|
||||
@@ -620,6 +621,11 @@ const zhHans = {
|
||||
showMarkdown: '渲染',
|
||||
showRaw: '原文',
|
||||
},
|
||||
monitoring: {
|
||||
title: '监控日志',
|
||||
description: '查看此流水线的运行记录和错误信息（最近24小时）',
|
||||
detailedLogs: '详细日志',
|
||||
},
|
||||
},
|
||||
knowledge: {
|
||||
title: '知识库',
|
||||
@@ -907,6 +913,23 @@ const zhHans = {
|
||||
viewMonitoring: '查看日志监控',
|
||||
refreshData: '刷新数据',
|
||||
exportData: '导出数据',
|
||||
export: {
|
||||
title: '导出数据',
|
||||
exporting: '导出中...',
|
||||
messages: '消息记录',
|
||||
llmCalls: 'LLM 调用',
|
||||
embeddingCalls: 'Embedding 调用',
|
||||
errors: '错误日志',
|
||||
sessions: '会话记录',
|
||||
},
|
||||
},
|
||||
limitation: {
|
||||
maxBotsReached:
|
||||
'已达到机器人数量上限（{{max}}个）。请先删除已有机器人后再创建新的。',
|
||||
maxPipelinesReached:
|
||||
'已达到流水线数量上限（{{max}}个）。请先删除已有流水线后再创建新的。',
|
||||
maxExtensionsReached:
|
||||
'已达到扩展数量上限（{{max}}个）。请先删除已有的 MCP 服务器或插件后再添加新的。',
|
||||
},
|
||||
};
|
||||
|
||||
|
||||
@@ -558,6 +558,7 @@ const zhHant = {
|
||||
copyConfirmTitle: '確認複製',
|
||||
copyConfirmation:
|
||||
'確定要複製這個流程線嗎？複製將創建一個包含完整配置的新流程線。',
|
||||
unsavedChanges: '有未儲存的變更',
|
||||
extensions: {
|
||||
title: '擴展集成',
|
||||
loadError: '載入插件清單失敗',
|
||||
@@ -613,6 +614,11 @@ const zhHant = {
|
||||
showMarkdown: '渲染',
|
||||
showRaw: '原文',
|
||||
},
|
||||
monitoring: {
|
||||
title: '監控日誌',
|
||||
description: '檢視此流程線的執行記錄和錯誤資訊（最近24小時）',
|
||||
detailedLogs: '詳細日誌',
|
||||
},
|
||||
},
|
||||
knowledge: {
|
||||
title: '知識庫',
|
||||
@@ -882,6 +888,23 @@ const zhHant = {
|
||||
viewMonitoring: '查看日誌監控',
|
||||
refreshData: '重新整理資料',
|
||||
exportData: '匯出資料',
|
||||
export: {
|
||||
title: '匯出資料',
|
||||
exporting: '匯出中...',
|
||||
messages: '訊息記錄',
|
||||
llmCalls: 'LLM 呼叫',
|
||||
embeddingCalls: 'Embedding 呼叫',
|
||||
errors: '錯誤日誌',
|
||||
sessions: '會話記錄',
|
||||
},
|
||||
},
|
||||
limitation: {
|
||||
maxBotsReached:
|
||||
'已達到機器人數量上限（{{max}}個）。請先刪除已有機器人後再建立新的。',
|
||||
maxPipelinesReached:
|
||||
'已達到流水線數量上限（{{max}}個）。請先刪除已有流水線後再建立新的。',
|
||||
maxExtensionsReached:
|
||||
'已達到擴充功能數量上限（{{max}}個）。請先刪除已有的 MCP 伺服器或外掛後再新增。',
|
||||
},
|
||||
};
|
||||
|
||||
|
||||
Reference in New Issue
Block a user